17.1.3.8.5 Actions, Grasping, Robot Grasping, Shape for Grasp

Chapter Contents (Back)
Grasping.
See also Hand Gesture Systems, Gesture Recognition.
See also Human Activities, Interacting with Objects, HOI.

Foresti, G.L., Pellegrino, F.A.,
Automatic Visual Recognition of Deformable Objects for Grasping and Manipulation,
SMC-C(34), No. 3, August 2004, pp. 325-333.
IEEE Abstract. 0409
BibRef

Carrasco, M.[Miguel], Clady, X.[Xavier],
Exploiting eye-hand coordination to detect grasping movements,
IVC(30), No. 11, November 2012, pp. 860-874.
Elsevier DOI 1211
Visual system; Grasping movements; Motion analysis; Hand posture; Hand gesture; Object recognition BibRef

Sreenivasa, M., Soueres, P., Laumond, J.P.,
Walking to Grasp: Modeling of Human Movements as Invariants and an Application to Humanoid Robotics,
SMC-A(42), No. 4, July 2012, pp. 880-893.
IEEE DOI 1206
BibRef

Colasanto, L., Suarez, R., Rosell, J.,
Hybrid Mapping for the Assistance of Teleoperated Grasping Tasks,
SMCS(43), No. 2, March 2013, pp. 390-401.
IEEE DOI 1303
BibRef

Zhou, K.[Kai], Richtsfeld, A.[Andreas], Varadarajan, K.M.[Karthik Mahesh], Zillich, M.[Michael], Vincze, M.[Markus],
Combining Plane Estimation with Shape Detection for Holistic Scene Understanding,
ACIVS11(736-747).
Springer DOI 1108
BibRef

Varadarajan, K.M.[Karthik Mahesh], Vincze, M.[Markus],
AfNet: The Affordance Network,
ACCV12(I:512-523).
Springer DOI 1304
BibRef
Earlier:
Knowledge Representation and Inference for Grasp Affordances,
CVS11(173-182).
Springer DOI 1109
BibRef
And:
Surface reconstruction for RGB-D data using real-time depth propagation,
Dense11(723-724).
IEEE DOI 1201
BibRef
Earlier:
Real-time depth diffusion for 3D surface reconstruction,
ICIP10(4149-4152).
IEEE DOI 1009
BibRef

Olufs, S.[Sven], Vincze, M.[Markus],
Room-structure estimation in Manhattan-like environments from dense 2˝D range data using minumum entropy and histograms,
WACV11(118-124).
IEEE DOI 1101
BibRef

Richtsfeld, M.[Mario], Vincze, M.[Markus],
Point Cloud Segmentation Based on Radial Reflection,
CAIP09(955-962).
Springer DOI 0909
BibRef

Lee, C.S.[Chan-Su], Chun, S.[Sung_Yong], Park, S.W.[Shin Won],
Tracking hand rotation and various grasping gestures from an IR camera using extended cylindrical manifold embedding,
CVIU(117), No. 12, 2013, pp. 1711-1723.
Elsevier DOI 1310
BibRef
Earlier: A1, A3, Only:
Tracking Hand Rotation and Grasping from an IR Camera Using Cylindrical Manifold Embedding,
ICPR10(2612-2615).
IEEE DOI 1008
Tracking BibRef

Song, K.T., Jiang, S.Y., Lin, M.H.,
Interactive Teleoperation of a Mobile Manipulator Using a Shared-Control Approach,
HMS(46), No. 6, December 2016, pp. 834-845.
IEEE DOI 1612
Grasping BibRef

Cotugno, G., Althoefer, K., Nanayakkara, T.,
The Role of the Thumb: Study of Finger Motion in Grasping and Reachability Space in Human and Robotic Hands,
SMCS(47), No. 7, July 2017, pp. 1061-1070.
IEEE DOI 1706
Grasping, Grippers, Kinematics, Robot kinematics, Standards, Thumb, Dexterous manipulation, grasping, humanoid robots, kinematics, multifingered, hands BibRef

Cai, M., Kitani, K.M., Sato, Y.,
An Ego-Vision System for Hand Grasp Analysis,
HMS(47), No. 4, August 2017, pp. 524-535.
IEEE DOI 1708
Cameras, Feature extraction, Image segmentation, Robots, Sensors, Taxonomy, Visualization, Egocentric vision, hand grasp, recognition, wearable, system BibRef

Matsuo, T.[Tadashi], Shimada, N.[Nobutaka],
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions,
IEICE(E100-D), No. 6, June 2017, pp. 1350-1359.
WWW Link. 1706
BibRef

Song, P.[Peng], Fu, Z.Q.[Zhong-Qi], Liu, L.G.[Li-Gang],
Grasp planning via hand-object geometric fitting,
VC(34), No. 2, February 2018, pp. 257-270.
WWW Link. 1802
BibRef

Asif, U.[Umar], Bennamoun, M.[Mohammed], Sohel, F.A.[Ferdous A.],
A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling,
PAMI(40), No. 9, September 2018, pp. 2051-2065.
IEEE DOI 1808
BibRef
Earlier:
Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects,
ECCV14(V: 659-674).
Springer DOI 1408
Labeling, Solid modeling, Proposals, Semantics, Image reconstruction, Computational modeling, semantic segmentation BibRef

González-Díaz, I.[Iván], Benois-Pineau, J.[Jenny], Domenger, J.P.[Jean-Philippe], Cattaert, D.[Daniel], de Rugy, A.[Aymar],
Perceptually-guided deep neural networks for ego-action prediction: Object grasping,
PR(88), 2019, pp. 223-235.
Elsevier DOI 1901
Human perception, Grasping action prediction, Weakly supervised active object detection BibRef

Chen, C.P.[Cheng-Peng], Min, W.Q.[Wei-Qing], Li, X.[Xue], Jiang, S.Q.[Shu-Qiang],
Hybrid incremental learning of new data and new classes for hand-held object recognition,
JVCIR(58), 2019, pp. 138-148.
Elsevier DOI 1901
Incremental learning, Object recognition, SVM, Human-machine interaction BibRef

Chauhan, R., Sebastian, B., Ben-Tzvi, P.,
Grasp Prediction Toward Naturalistic Exoskeleton Glove Control,
HMS(50), No. 1, February 2020, pp. 22-31.
IEEE DOI 2001
Prediction algorithms, Exoskeletons, Principal component analysis, Sensors, Electromyography, upper limb BibRef

Irmak, E.C.[Erdem Can], Sahillioglu, Y.[Yusuf],
3D indirect shape retrieval based on hand interaction,
VC(36), No. 1, January 2020, pp. 5-17.
WWW Link. 2001
BibRef

Zhang, H.B.[Han-Bo], Lan, X.G.[Xu-Guang], Zhou, X.W.[Xin-Wen], Tian, Z.Q.[Zhi-Qiang], Zhang, Y.[Yang], Zheng, N.N.[Nan-Ning],
Visual manipulation relationship recognition in object-stacking scenes,
PRL(140), 2020, pp. 34-42.
Elsevier DOI 2012
Visual manipulation relationship, Grasp precondition, Robot vision BibRef

Zhang, H., Zhou, X., Lan, X., Li, J., Tian, Z., Zheng, N.,
A Real-Time Robotic Grasping Approach With Oriented Anchor Box,
SMCS(51), No. 5, May 2021, pp. 3014-3025.
IEEE DOI 2104
Robot kinematics, Grasping, Feature extraction, Training, Real-time systems, Prediction algorithms, Angle matching, real-time robotic grasping BibRef

Yu, Y.Y.[Ying-Ying], Cao, Z.Q.[Zhi-Qiang], Liu, Z.C.[Zhi-Cheng], Geng, W.J.[Wen-Jie], Yu, J.Z.[Jun-Zhi], Zhang, W.M.[Wei-Min],
A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping,
SMCS(52), No. 2, February 2022, pp. 1167-1181.
IEEE DOI 2201
Grasping, Robot kinematics, Manipulators, Image segmentation, Deconvolution, Machine learning, two-stream grasping convolutional neural network (CNN) BibRef

Shang, W.W.[Wei-Wei], Song, F.J.[Fang-Jing], Zhao, Z.Z.[Zeng-Zhi], Gao, H.B.[Hong-Bo], Cong, S.[Shuang], Li, Z.J.[Zhi-Jun],
Deep Learning Method for Grasping Novel Objects Using Dexterous Hands,
Cyber(52), No. 5, May 2022, pp. 2750-2762.
IEEE DOI 2206
Grasping, Indexes, Robots, Grippers, Force, Machine learning, Task analysis, Deep learning, dexterous hand, grasp posture, robotic grasp BibRef

Pattar, S.P.[Suraj Prakash], Hirakawa, T.[Tsubasa], Yamashita, T.[Takayoshi], Sawanobori, T.[Tetsuya], Fujiyoshi, H.[Hironobu],
Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data,
IEICE(E105-D), No. 9, September 2022, pp. 1600-1609.
WWW Link. 2209
BibRef

Fan, H.[Hehe], Zhuo, T.[Tao], Yu, X.[Xin], Yang, Y.[Yi], Kankanhalli, M.[Mohan],
Understanding Atomic Hand-Object Interaction With Human Intention,
CirSysVideo(32), No. 1, January 2022, pp. 275-285.
IEEE DOI 2201
Videos, Cognition, Fans, Task analysis, Neural networks, deep neural networks BibRef

Cong, Y.[Yang], Chen, R.H.[Rong-Han], Ma, B.T.[Bing-Tao], Liu, H.S.[Hong-Sen], Hou, D.D.[Dong-Dong], Yang, C.G.[Chen-Guang],
A Comprehensive Study of 3-D Vision-Based Robot Manipulation,
Cyber(53), No. 3, March 2023, pp. 1682-1698.
IEEE DOI 2302
Robots, Service robots, Grasping, Data acquisition, Pose estimation, Force, Cameras, 3-D object recognition, grasping estimation, robot manipulation BibRef

Jeddi, M.[Mahmoud], Khoogar, A.R.[Ahmad Reza],
A modified eye-in-hand stereo visual control for grasping unknown objects via Scara robot,
IET-IPR(17), No. 7, 2023, pp. 2015-2031.
DOI Link 2305
calibration, cameras, decision making, estimation theory, feedback, image matching, Kalman filters, motion estimation BibRef

Ren, G.L.[Guang-Li], Geng, W.J.[Wen-Jie], Guan, P.Y.[Pei-Yu], Cao, Z.Q.[Zhi-Qiang], Yu, J.Z.[Jun-Zhi],
Pixel-Wise Grasp Detection via Twin Deconvolution and Multi-Dimensional Attention,
CirSysVideo(33), No. 8, August 2023, pp. 4002-4010.
IEEE DOI 2308
Feature extraction, Convolution, Deconvolution, Decoding, Robots, Kernel, Correlation, Grasp detection, multi-dimensional attention, twin deconvolution BibRef

Zhu, T.Q.[Tian-Qiang], Wu, R.[Rina], Hang, J.[Jinglue], Lin, X.B.[Xiang-Bo], Sun, Y.[Yi],
Toward Human-Like Grasp: Functional Grasp by Dexterous Robotic Hand Via Object-Hand Semantic Representation,
PAMI(45), No. 10, October 2023, pp. 12521-12534.
IEEE DOI 2310
BibRef
Earlier: A1, A2, A4, A5, Only:
Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand,
ICCV21(15721-15731)
IEEE DOI 2203
Codes, Annotations, Computational modeling, Semantics, Grasping, Data models, Vision for robotics and autonomous vehicles, BibRef

Ren, S.Y.[Shu-Yang], Zhang, Y.B.[Yi-Biao], Hang, J.[Jinglue], Lin, X.B.[Xiang-Bo],
Hand-object information embedded dexterous grasping generation,
PRL(174), 2023, pp. 130-136.
Elsevier DOI 2310
Dexterous multi-fingered hands, Grasp generation, Computer vision BibRef

Chen, Y.P.[Yuan-Pei], Geng, Y.[Yiran], Zhong, F.W.[Fang-Wei], Ji, J.M.[Jia-Ming], Jiang, J.C.[Jie-Chuang], Lu, Z.Q.[Zong-Qing], Dong, H.[Hao], Yang, Y.D.[Yao-Dong],
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation,
PAMI(46), No. 5, May 2024, pp. 2804-2818.
IEEE DOI 2404
Task analysis, Robots, Robot kinematics, Reinforcement learning, Multitasking, Benchmark testing, Grasping, Reinforcement learning, simulation BibRef

Yan, S.[Song], Zhang, L.[Lei],
CR-Net: Robot grasping detection method integrating convolutional block attention module and residual module,
IET-CV(18), No. 3, 2024, pp. 420-433.
DOI Link 2404
convolution, convolutional neural nets BibRef

Yu, S.[Sheng], Zhai, D.H.[Di-Hua], Xia, Y.Q.[Yuan-Qing], Wang, W.[Wei], Zhang, C.[Chengyu], Zhao, S.Q.[Shi-Qi],
Robotic Grasp Detection With 6-D Pose Estimation Based on Graph Convolution and Refinement,
SMCS(54), No. 6, June 2024, pp. 3783-3795.
IEEE DOI 2405
Pose estimation, Feature extraction, Point cloud compression, Convolution, Task analysis, Transformers, Robot kinematics, transformer BibRef

Ran, H.S.[Hao-Song], Chen, D.S.[Dian-Sheng], Chen, Q.[Qinshu], Li, Y.F.[Yi-Fei], Luo, Y.[Yazhe], Zhang, X.Y.[Xiao-Yu], Li, J.[Jiting], Zhang, X.C.[Xiao-Chuan],
6-DoF grasp estimation method that fuses RGB-D data based on external attention,
JVCIR(101), 2024, pp. 104173.
Elsevier DOI 2406
6-DoF grasp, External attention, Data fusion, Deep learning, Pose estimation BibRef

Huang, Y.H.[Ying-Hao], Taheri, O.[Omid], Black, M.J.[Michael J.], Tzionas, D.[Dimitrios],
InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction from Multi-view RGB-D Images,
IJCV(132), No. 7, July 2024, pp. Pages2551-2566.
Springer DOI 2406
BibRef

Chen, Y.X.[Yi-Xin], Dwivedi, S.K.[Sai Kumar], Black, M.J.[Michael J.], Tzionas, D.[Dimitrios],
Detecting Human-Object Contact in Images,
CVPR23(17100-17110)
IEEE DOI 2309
BibRef

Tripathi, S.[Shashank], Chatterjee, A.[Agniv], Passy, J.C.[Jean-Claude], Yi, H.W.[Hong-Wei], Tzionas, D.[Dimitrios], Black, M.J.[Michael J.],
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild,
ICCV23(7967-7979)
IEEE DOI Code:
WWW Link. 2401
BibRef

Fan, Z.C.[Zi-Cong], Taheri, O.[Omid], Tzionas, D.[Dimitrios], Kocabas, M.[Muhammed], Kaufmann, M.[Manuel], Black, M.J.[Michael J.], Hilliges, O.[Otmar],
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation,
CVPR23(12943-12954)
IEEE DOI 2309
BibRef

Taheri, O.[Omid], Choutas, V.[Vasileios], Black, M.J.[Michael J.], Tzionas, D.[Dimitrios],
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping,
CVPR22(13253-13263)
IEEE DOI 2210
Solid modeling, Codes, Tracking, Shape, Avatars, Pose estimation and tracking, Motion and tracking BibRef

Taheri, O.[Omid], Ghorbani, N.[Nima], Black, M.J.[Michael J.], Tzionas, D.[Dimitrios],
Grab: A Dataset of Whole-body Human Grasping of Objects,
ECCV20(IV:581-600).
Springer DOI 2011
BibRef

Chen, L.[Lu], Niu, M.D.[Ming-Di], Yang, J.[Jing], Qian, Y.H.[Yu-Hua], Li, Z.M.[Zhuo-Mao], Wang, K.Q.[Ke-Qi], Yan, T.[Tao], Huang, P.[Panfeng],
Robotic Grasp Detection Using Structure Prior Attention and Multiscale Features,
SMCS(54), No. 11, November 2024, pp. 7039-7053.
IEEE DOI 2410
Feature extraction, Grasping, Robots, Solid modeling, fPoint cloud compression, Accuracy, Fuses, Attention mechanism, robotic grasping BibRef

Yang, Y.X.[Yu-Xiang], Guo, J.T.[Jiang-Tao], Li, Z.L.[Zi-Long], He, Z.W.[Zhi-Wei], Zhang, J.[Jing],
Ground4Act: Leveraging visual-language model for collaborative pushing and grasping in clutter,
IVC(151), 2024, pp. 105280.
Elsevier DOI 2411
Visual grounding, Collaborative pushing and grasping, Deep reinforcement learning, Visual-language model BibRef

Yang, L.X.[Li-Xin], Zhan, X.Y.[Xin-Yu], Li, K.L.[Kai-Lin], Xu, W.Q.[Wen-Qiang], Zhang, J.M.[Jun-Ming], Li, J.F.[Jie-Feng], Lu, C.W.[Ce-Wu],
Learning a Contact Potential Field for Modeling the Hand-Object Interaction,
PAMI(46), No. 8, August 2024, pp. 5645-5662.
IEEE DOI 2407
BibRef
Earlier: A1, A2, A3, A4, A6, A7, Only:
CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction,
ICCV21(11077-11086)
IEEE DOI 2203
Pose estimation, Task analysis, Grasping, Contacts, Semantics, Image reconstruction, Contact modeling, grasping pose generation, hand-object pose estimation. Measurement, Deep learning, Codes, Benchmark testing, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Leonardi, R.[Rosario], Ragusa, F.[Francesco], Furnari, A.[Antonino], Farinella, G.M.[Giovanni Maria],
Exploiting multimodal synthetic data for egocentric human-object interaction detection in an industrial scenario,
CVIU(242), 2024, pp. 103984.
Elsevier DOI Code:
WWW Link. 2404
BibRef
Earlier:
Egocentric Human-Object Interaction Detection Exploiting Synthetic Data,
CIAP22(II:237-248).
Springer DOI 2205
Human-object interaction, Synthetic data generation, Egocentric vision, Multimodal data, Industrial scenario BibRef

Leonardi, R.[Rosario], Furnari, A.[Antonino], Ragusa, F.[Francesco], Farinella, G.M.[Giovanni Maria],
Are Synthetic Data Useful for Egocentric Hand-object Interaction Detection?,
ECCV24(LXXI: 36-54).
Springer DOI 2412
BibRef

Yang, F.[Fan], Chen, W.R.[Wen-Rui], Lin, H.R.[Hao-Ran], Wu, S.[Sijie], Li, X.[Xin], Li, Z.Y.[Zhi-Yong], Wang, Y.[Yaonan],
Task-Oriented Tool Manipulation With Robotic Dexterous Hands: A Knowledge Graph Approach From Fingers to Functionality,
Cyber(55), No. 1, January 2025, pp. 395-408.
IEEE DOI Code:
WWW Link. 2501
Hands, Shape, Semantics, Force feedback, Force, Knowledge graphs, Grasping, Prediction algorithms, Resource management, Robots, tool manipulation BibRef

Halder, K.[Kaushik], Roy, A.[Arnab], Orlando, M.F.[M. Felix],
Neural Network-Based Indirect Adaptive Force Control of a Two-Fingered Hand Exoskeleton Toward Robust Grasping Assistance,
SMCS(55), No. 5, May 2025, pp. 3614-3629.
IEEE DOI 2504
Exoskeletons, Hands, Grasping, Force, Force control, Older adults, Prototypes, Adaptation models, Thumb, Solid modeling, neural network (NN) BibRef

Peng, G.Z.[Guang-Zhu], Li, T.[Tao], Guo, Y.T.[Yu-Ting], Liu, C.G.[Cheng-Guo], Yang, C.G.[Chen-Guang], Chen, C.L.P.[C. L. Philip],
Force Observer-Based Motion Adaptation and Adaptive Neural Control for Robots in Contact With Unknown Environments,
Cyber(55), No. 5, May 2025, pp. 2138-2150.
IEEE DOI 2505
Robots, Force, Trajectory, Robot sensing systems, Dynamics, Artificial neural networks, Heuristic algorithms, Estimation, robot-Environment interaction BibRef


Kimhi, M.[Moshe], Vainshtein, D.[David], Baskin, C.[Chaim], di Castro, D.[Dotan],
Robot Instance Segmentation with Few Annotations for Grasping,
WACV25(7939-7949)
IEEE DOI 2505
Training, Linear systems, Instance segmentation, Visualization, Annotations, Navigation, Grasping, Semisupervised learning, semi supervised learning BibRef

Fan, Z.C.[Zi-Cong], Ohkawa, T.[Takehiko], Yang, L.L.[Lin-Lin], Lin, N.[Nie], Zhou, Z.[Zhishan], Zhou, S.H.[Shi-Hao], Liang, J.J.[Jia-Jun], Gao, Z.[Zhong], Zhang, X.[Xuanyang], Zhang, X.[Xue], Li, F.[Fei], Liu, Z.[Zheng], Lu, F.[Feng], Zeid, K.A.[Karim Abou], Leibe, B.[Bastian], On, J.[Jeongwan], Baek, S.[Seungryul], Prakash, A.[Aditya], Gupta, S.[Saurabh], He, K.[Kun], Sato, Y.[Yoichi], Hilliges, O.[Otmar], Chang, H.J.[Hyung Jin], Yao, A.[Angela],
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects,
ECCV24(XXV: 428-448).
Springer DOI 2412
BibRef

Zhang, Z.Q.[Zhong-Qun], Song, J.[Jifei], Pérez-Pellitero, E.[Eduardo], Zhou, Y.[Yiren], Chang, H.J.[Hyung Jin], Leonardis, A.[Aleš],
NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction,
3DV24(387-396)
IEEE DOI 2408
Visualization, Accuracy, Pose estimation, Lighting, Rendering (computer graphics), Task analysis BibRef

Shiota, T.[Tsukasa], Takagi, M.[Motohiro], Kumagai, K.[Kaori], Seshimo, H.[Hitoshi], Aono, Y.S.[Yu-Shi],
Egocentric Action Recognition by Capturing Hand-Object Contact and Object State,
WACV24(6527-6537)
IEEE DOI 2404
Training, Learning systems, Analytical models, Computational modeling, Focusing, Data visualization, Algorithms, Video recognition and understanding BibRef

Kim, S., Yun, K., Park, J., Choi, J.Y.,
Skeleton-Based Action Recognition of People Handling Objects,
WACV19(61-70)
IEEE DOI 1904
feature extraction, graph theory, image representation, object detection, object recognition, pose estimation, Detectors BibRef

Jian, J.T.[Jun-Tao], Liu, X.P.[Xiu-Ping], Li, M.[Manyi], Hu, R.Z.[Rui-Zhen], Liu, J.[Jian],
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose,
ICCV23(14667-14678)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, L.J.[Li-Jun], Tian, L.[Linrui], Zhang, X.[Xindi], Wang, Q.[Qi], Zhang, B.[Bang], Bo, L.[Liefeng], Liu, M.Y.[Meng-Yuan], Chen, C.[Chen],
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation,
ICCV23(20338-20348)
IEEE DOI Code:
WWW Link. 2401
BibRef

Cho, H.[Hoseong], Kim, C.[Chanwoo], Kim, J.[Jihyeon], Lee, S.[Seongyeong], Ismayilzada, E.[Elkhan], Baek, S.[Seungryul],
Transformer-based Unified Recognition of Two Hands Manipulating Objects,
CVPR23(4769-4778)
IEEE DOI 2309
BibRef

Zheng, J.[Juntian], Zheng, Q.Y.[Qing-Yuan], Fang, L.X.[Li-Xing], Liu, Y.[Yun], Yi, L.[Li],
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis,
CVPR23(585-594)
IEEE DOI 2309
BibRef

Prakash, A.[Aditya], Chang, M.[Matthew], Jin, M.[Matthew], Tu, R.[Ruisen], Gupta, S.[Saurabh],
3d Reconstruction of Objects in Hands Without Real World 3d Supervision,
ECCV24(LXXVIII: 126-145).
Springer DOI 2412
BibRef

Liu, X.Y.[Xing-Yu], Ren, P.F.[Peng-Fei], Wang, J.Y.[Jing-Yu], Qi, Q.[Qi], Sun, H.F.[Hai-Feng], Zhuang, Z.[Zirui], Liao, J.X.[Jian-Xin],
Coarse-to-fine Implicit Representation Learning for 3d Hand-object Reconstruction from a Single Rgb-d Image,
ECCV24(LI: 74-92).
Springer DOI 2412
BibRef

Fu, B.[Bowen], Wang, G.[Gu], Zhang, C.Y.G.[Chen-Yang-Guang], Di, Y.[Yan], Huang, Z.Q.[Zi-Qin], Leng, Z.Y.[Zhi-Ying], Manhardt, F.[Fabian], Ji, X.Y.[Xiang-Yang], Tombari, F.[Federico],
D-sco: Dual-stream Conditional Diffusion for Monocular Hand-held Object Reconstruction,
ECCV24(XXIX: 376-394).
Springer DOI 2412
BibRef

Zhang, Z.Q.[Zhong-Qun], Wang, H.[Hengfei], Yu, Z.W.[Zi-Wei], Cheng, Y.H.[Yi-Hua], Yao, A.[Angela], Chang, H.J.[Hyung Jin],
Nl2contact: Natural Language Guided 3d Hand-object Contact Modeling with Diffusion Model,
ECCV24(XXVIII: 284-300).
Springer DOI 2412
BibRef

Nguyen, T.[Toan], Vu, M.N.[Minh Nhat], Huang, B.[Baoru], Vuong, A.[An], Vuong, Q.[Quan], Le, N.[Ngan], Vo, T.[Thieu], Nguyen, A.[Anh],
Language-driven 6-dof Grasp Detection Using Negative Prompt Guidance,
ECCV24(XIX: 363-381).
Springer DOI 2412
BibRef

Li, K.L.[Kai-Lin], Wang, J.B.[Jing-Bo], Yang, L.X.[Li-Xin], Lu, C.[Cewu], Dai, B.[Bo],
Semgrasp: Semantic Grasp Generation via Language Aligned Discretization,
ECCV24(II: 109-127).
Springer DOI 2412
BibRef

Zhang, H.[Hui], Christen, S.[Sammy], Fan, Z.C.[Zi-Cong], Hilliges, O.[Otmar], Song, J.[Jie],
Graspxl: Generating Grasping Motions for Diverse Objects at Scale,
ECCV24(XXVI: 386-403).
Springer DOI 2412
BibRef

Wu, X.M.[Xiao-Ming], Cai, J.F.[Jia-Feng], Jiang, J.J.[Jian-Jian], Zheng, D.[Dian], Wei, Y.L.[Yi-Lin], Zheng, W.S.[Wei-Shi],
An Economic Framework for 6-dof Grasp Detection,
ECCV24(XXVII: 357-375).
Springer DOI 2412
BibRef

Zhao, Z.[Zhe], Qi, M.[Mengshi], Ma, H.D.[Hua-Dong],
Decomposed Vector-quantized Variational Autoencoder for Human Grasp Generation,
ECCV24(XXIX: 447-463).
Springer DOI 2412
BibRef

She, Q.J.[Qi-Jin], Zhang, S.[Shishun], Ye, Y.F.[Yun-Fan], Hu, R.Z.[Rui-Zhen], Xu, K.[Kai],
Learning Cross-hand Policies of High-dof Reaching and Grasping,
ECCV24(XXX: 269-285).
Springer DOI 2412
BibRef

Lu, J.X.[Jia-Xin], Kang, H.[Hao], Li, H.X.[Hao-Xiang], Liu, B.[Bo], Yang, Y.D.[Yi-Ding], Huang, Q.X.[Qi-Xing], Hua, G.[Gang],
UGG: Unified Generative Grasping,
ECCV24(LXVII: 414-433).
Springer DOI 2412
BibRef

Ma, K.Q.[Kang-Qi], Dong, H.[Hao], Mu, Y.D.[Ya-Dong],
Local Occupancy-enhanced Object Grasping with Multiple Triplanar Projection,
ECCV24(LXXIV: 1-18).
Springer DOI 2412
BibRef

Cho, W.[Woojin], Lee, J.Y.[Jih-Yun], Yi, M.[Minjae], Kim, M.J.[Min-Je], Woo, T.[Taeyun], Kim, D.[Donghwan], Ha, T.[Taewook], Lee, H.[Hyokeun], Ryu, J.H.[Je-Hwan], Woo, W.T.[Woon-Tack], Kim, T.K.[Tae-Kyun],
Dense Hand-object (ho) Graspnet with Full Grasping Taxonomy and Dynamics,
ECCV24(LXXXII: 284-303).
Springer DOI 2412
BibRef

Wang, J.[Jun], Qin, Y.Z.[Yu-Zhe], Kuang, K.[Kaiming], Korkmaz, Y.[Yigit], Gurumoorthy, A.[Akhilan], Su, H.[Hao], Wang, X.L.[Xiao-Long],
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation,
CVPR24(17952-17963)
IEEE DOI Code:
WWW Link. 2410
Visualization, Imitation learning, Data collection, Data augmentation BibRef

Liang, Y.C.[Yi-Chao], Ellis, K.[Kevin], Henriques, J.[Joăo],
Rapid Motor Adaptation for Robotic Manipulator Arms,
CVPR24(16404-16413)
IEEE DOI 2410
Training, Dictionaries, Shape, Friction, Propioception, Motors BibRef

Ryu, H.W.[Hyun-Woo], Kim, J.[Jiwoo], An, H.S.[Hyun-Seok], Chang, J.[Junwoo], Seo, J.[Joohwan], Kim, T.[Taehan], Kim, Y.[Yubin], Hwang, C.[Chaewon], Choi, J.[Jongeun], Horowitz, R.[Roberto],
Diffusion-EDFs: Bi-Equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation,
CVPR24(18007-18018)
IEEE DOI Code:
WWW Link. 2410
Point cloud compression, Training, Visualization, Motion segmentation, Noise reduction, Stochastic processes, Point cloud BibRef

Ma, X.[Xiao], Patidar, S.[Sumit], Haughton, I.[Iain], James, S.[Stephen],
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation,
CVPR24(18081-18090)
IEEE DOI 2410
Accuracy, Robot kinematics, Kinematics, Multitasking, End effectors, Robustness, Trajectory, Diffusion Policy, Robotic Manipulation BibRef

Zhang, C.Y.G.[Chen-Yang-Guang], Jiao, G.L.[Guan-Long], Di, Y.[Yan], Wang, G.[Gu], Huang, Z.Q.[Zi-Qin], Zhang, R.[Ruida], Manhardt, F.[Fabian], Fu, B.[Bowen], Tombari, F.[Federico], Ji, X.Y.[Xiang-Yang],
MOHO: Learning Single-View Hand-Held Object Reconstruction with Multi-View Occlusion-Aware Supervision,
CVPR24(9992-10002)
IEEE DOI 2410
Solid modeling, Shape, Training data, Human-robot interaction, Resists BibRef

Luo, H.W.[Hao-Wen], Liu, Y.Z.[Yun-Ze], Yi, L.[Li],
Physics-Aware Hand-Object Interaction Denoising,
CVPR24(2341-2350)
IEEE DOI 2410
Accuracy, Tracking, Noise reduction, Noise, Physics BibRef

Narasimhaswamy, S.[Supreeth], Nguyen, H.A.[Huy Anh], Huang, L.[Lihan], Hoai, M.[Minh],
HOIST-Former: Hand-Held Objects Identification, Segmentation, and Tracking in the Wild,
CVPR24(2351-2361)
IEEE DOI Code:
HTML Version. 2410
Tracking, Annotations, Motion segmentation, Object segmentation, Transformers, Hands, Hand-Object Interactions BibRef

Zhang, M.Q.[Meng-Qi], Fu, Y.[Yang], Ding, Z.[Zheng], Liu, S.[Sifei], Tu, Z.W.[Zhuo-Wen], Wang, X.L.[Xiao-Long],
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data,
CVPR24(8521-8531)
IEEE DOI Code:
WWW Link. 2410
Geometry, Solid modeling, Image synthesis, Pose estimation, Data collection BibRef

Xu, H.[Hao], Li, H.P.[Hai-Peng], Wang, Y.Q.[Yin-Qiao], Liu, S.C.[Shuai-Cheng], Fu, C.W.[Chi-Wing],
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions,
CVPR24(10159-10169)
IEEE DOI Code:
WWW Link. 2410
Training, Benchmark testing, Aerospace electronics, Diffusion models, Space exploration BibRef

Qi, H.Z.[Hao-Zhe], Zhao, C.[Chen], Salzmann, M.[Mathieu], Mathis, A.[Alexander],
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields,
CVPR24(10392-10402)
IEEE DOI Code:
WWW Link. 2410
Point cloud compression, Visualization, Codes, Shape, Pose estimation, 3d pose, sdf, implicit representation, hands BibRef

Liu, Y.[Yun], Yang, H.L.[Hao-Lin], Si, X.[Xu], Liu, L.[Ling], Li, Z.[Zipeng], Zhang, Y.X.[Yu-Xiang], Liu, Y.B.[Ye-Bin], Yi, L.[Li],
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding,
CVPR24(21740-21751)
IEEE DOI Code:
WWW Link. 2410
Codes, Pipelines, Data acquisition, Benchmark testing, Motion capture, Dataset, Hand-object Interaction, Motion Synthesis BibRef

Pang, Y.L.[Yik Lung], Oh, C.[Changjae], Cavallaro, A.[Andrea],
Sparse multi-view hand-object reconstruction for unseen environments,
L3D24(803-810)
IEEE DOI 2410
Shape, Computational modeling, Predictive models, Data collection, multi-view, 3D reconstruction, hand-object reconstruction BibRef

Cha, J.[Junuk], Kim, J.[Jihyeon], Yoon, J.S.[Jae Shin], Baek, S.[Seungryul],
Text2HOI: Text-Guided 3D Motion Generation for Hand-Object Interaction,
CVPR24(1577-1585)
IEEE DOI Code:
WWW Link. 2410
Geometry, Solid modeling, Semantics, Transformers, Diffusion models, Hand, Object, Motion, Text, Generation, Interaction BibRef

Yang, F.Y.[Feng-Yu], Feng, C.[Chao], Chen, Z.Y.[Zi-Yang], Park, H.[Hyoungseob], Wang, D.[Daniel], Dou, Y.M.[Yi-Ming], Zeng, Z.[Ziyao], Chen, X.[Xien], Gangopadhyay, R.[Rit], Owens, A.[Andrew], Wong, A.[Alex],
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations,
CVPR24(26330-26343)
IEEE DOI Code:
WWW Link. 2410
Computational modeling, Tactile sensors, Grasping, Question answering (information retrieval), Data models, Sensors BibRef

Casarin, S.[Sofia], Lanz, O.[Oswald], Escalera, S.[Sergio],
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts,
NAS24(1695-1703)
IEEE DOI 2410
Training, Accuracy, Shape, Graph convolutional networks, Neural networks, Object detection BibRef

Wang, Y.K.[Yan-Kang], Xing, C.Y.[Cheng-Yi], Wei, Y.L.[Yi-Lin], Wu, X.M.[Xiao-Ming], Zheng, W.S.[Wei-Shi],
Single-View Scene Point Cloud Human Grasp Generation,
CVPR24(831-841)
IEEE DOI Code:
WWW Link. 2410
Point cloud compression, Codes, Computational modeling, Mirrors, Task analysis, single-view, generation BibRef

Yan, H.T.[Hai-Tao], Cui, Q.[Qiongjie], Xie, J.[Jiexin], Guo, S.J.[Shi-Jie],
Forecasting of 3D Whole-Body Human Poses with Grasping Objects,
CVPR24(1726-1736)
IEEE DOI Code:
WWW Link. 2410
Representation learning, Dynamics, Grasping, Predictive models, Logic gates, 3D human motion analysis, human motion prediction, cross-modal learning BibRef

Ye, Y.F.[Yu-Fei], Gupta, A.[Abhinav], Kitani, K.[Kris], Tulsiani, S.[Shubham],
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis,
CVPR24(1911-1920)
IEEE DOI 2410
Solid modeling, Shape, Computational modeling, Noise reduction, Training data, hand-object interaction, generative model BibRef

Pokhariya, C.[Chandradeep], Shah, I.N.[Ishaan Nikhil], Xing, A.[Angela], Li, Z.K.[Ze-Kun], Chen, K.[Kefan], Sharma, A.[Avinash], Sridhar, S.[Srinath],
MANUS: Markerless Grasp Capture Using Articulated 3D Gaussians,
CVPR24(2197-2208)
IEEE DOI 2410
Solid modeling, Accuracy, Shape, Robot vision systems, Mixed reality, Cameras, grasp capture, markerless capture, hand reconstruction, hand-object grasp BibRef

Vuong, A.D.[An Dinh], Vu, M.N.[Minh Nhat], Huang, B.[Baoru], Nguyen, N.[Nghia], Le, H.[Hieu], Vo, T.[Thieu], Nguyen, A.[Anh],
Language-driven Grasp Detection,
CVPR24(17902-17912)
IEEE DOI 2410
Training, Noise reduction, Natural languages, Grasping, Benchmark testing, Diffusion models, grasp detection, contrastive learning BibRef

Xu, G.H.[Guo-Hao], Wei, Y.L.[Yi-Lin], Zheng, D.[Dian], Wu, X.M.[Xiao-Ming], Zheng, W.S.[Wei-Shi],
Dexterous Grasp Transformer,
CVPR24(17933-17942)
IEEE DOI Code:
WWW Link. 2410
Training, Point cloud compression, Measurement, Grasping, Predictive models, Transformers, Stability analysis, dexterous, transformer BibRef

Ma, H.X.[Hao-Xiang], Shi, M.[Modi], Gao, B.Y.[Bo-Yang], Huang, D.[Di],
Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge,
CVPR24(18102-18111)
IEEE DOI Code:
WWW Link. 2410
Training, Shape, Grasping, Benchmark testing, Predictive models, Performance gain BibRef

Zhou, K.[Keyang], Bhatnagar, B.L.[Bharat Lal], Lenssen, J.E.[Jan Eric], Pons-Moll, G.[Gerard],
GEARS: Local Geometry-Aware Hand-Object Interaction Synthesis,
CVPR24(20634-20643)
IEEE DOI 2410
Training, Geometry, Correlation, Gears, Soft sensors, Training data, Grasping BibRef

Di, Y.[Yan], Zhang, C.Y.G.[Chen-Yang-Guang], Wang, C.W.[Chao-Wei], Zhang, R.[Ruida], Zhai, G.Y.[Guang-Yao], Li, Y.Y.[Yan-Yan], Fu, B.[Bowen], Ji, X.Y.[Xiang-Yang], Gao, S.[Shan],
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation,
CVPR24(21017-21028)
IEEE DOI Code:
WWW Link. 2410
Training, Shape, Deformation, Databases, Aggregates, Self-supervised learning, Grasping BibRef

Zhang, H.[Hui], Christen, S.[Sammy], Fan, Z.C.[Zi-Cong], Zheng, L.C.[Luo-Cheng], Hwangbo, J.[Jemin], Song, J.[Jie], Hilliges, O.[Otmar],
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation,
3DV24(235-246)
IEEE DOI Code:
WWW Link. 2408
Training, Wrist, Dynamics, Grasping, Reinforcement learning, Noise measurement, motion synthesis, hand-object interaction, physics simulation BibRef

Yang, J.[Jaesung], Hagihara, D.[Daisuke], Ito, K.[Kiyoto], Chihara, N.[Nobuhiro],
Safe height estimation of deformable objects for picking robots by detecting multiple potential contact points,
MVA23(1-5)
DOI Link 2403
Point cloud compression, Histograms, Machine vision, Stacking, Robot vision systems, Estimation, Search problems BibRef

Wan, W.K.[Wei-Kang], Geng, H.R.[Hao-Ran], Liu, Y.[Yun], Shan, Z.K.[Zi-Kang], Yang, Y.D.[Yao-Dong], Yi, L.[Li], Wang, H.[He],
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning,
ICCV23(3868-3879)
IEEE DOI 2401
BibRef

Liu, S.W.[Shao-Wei], Zhou, Y.[Yang], Yang, J.[Jimei], Gupta, S.[Saurabh], Wang, S.[Shenlong],
ContactGen: Generative Contact Modeling for Grasp Generation,
ICCV23(20552-20563)
IEEE DOI 2401
BibRef

Zheng, Y.Z.[Yan-Zhao], Shi, Y.Z.[Yun-Zhou], Cui, Y.H.[Yu-Hao], Zhao, Z.Z.[Zhong-Zhou], Luo, Z.L.[Zhi-Ling], Zhou, W.[Wei],
COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation,
ICCV23(2163-2173)
IEEE DOI Code:
WWW Link. 2401
BibRef

Xu, W.Q.[Wen-Qiang], Yu, Z.J.[Zhen-Jun], Xue, H.[Han], Ye, R.L.[Ruo-Lin], Yao, S.[Siqiong], Lu, C.W.[Ce-Wu],
Visual-Tactile Sensing for In-Hand Object Reconstruction,
CVPR23(8803-8812)
IEEE DOI 2309
BibRef

Tendulkar, P.[Purva], Surís, D.[Dídac], Vondrick, C.[Carl],
FLEX: Full-Body Grasping Without Full-Body Grasps,
CVPR23(21179-21189)
IEEE DOI 2309
BibRef

Liu, J.[Jirong], Zhang, R.[Ruo], Fang, H.S.[Hao-Shu], Gou, M.H.[Ming-Hao], Fang, H.J.[Hong-Jie], Wang, C.X.[Chen-Xi], Xu, S.[Sheng], Yan, H.X.[Heng-Xu], Lu, C.W.[Ce-Wu],
Target-referenced Reactive Grasping for Dynamic Objects,
CVPR23(8824-8833)
IEEE DOI 2309
BibRef

Xu, Y.Z.[Yin-Zhen], Wan, W.K.[Wei-Kang], Zhang, J.L.[Jia-Liang], Liu, H.R.[Hao-Ran], Shan, Z.[Zikang], Shen, H.[Hao], Wang, R.C.[Rui-Cheng], Geng, H.R.[Hao-Ran], Weng, Y.J.[Yi-Jia], Chen, J.Y.[Jia-Yi], Liu, T.Y.[Teng-Yu], Yi, L.[Li], Wang, H.[He],
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy,
CVPR23(4737-4746)
IEEE DOI 2309
BibRef

Wong, A.[Alexander], Wu, Y.F.[Yi-Fan], Abbasi, S.[Saad], Nair, S.[Saeejith], Chen, Y.H.[Yu-Hao], Shafiee, M.J.[Mohammad Javad],
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge,
NAS23(2293-2297)
IEEE DOI 2309
BibRef

Zhong, J.Y.[Jing-Yu], Yuan, X.G.[Xin-Guang], Du, B.[Bo], Hu, G.[Gang], Zhao, C.Y.[Cong-Yao],
An Lévy Flight Based Honey Badger Algorithm for Robot Gripper Problem,
ICIVC22(901-905)
IEEE DOI 2301
Force, Metaheuristics, Behavioral sciences, Grippers, Optimization, Robots, Faces, component, honey badger algorithm, lévy flight, robot gripper problem BibRef

Chumbley, L.[Lachlan], Gu, M.[Morris], Newbury, R.[Rhys], Leitner, J.[Jürgen], Cosgun, A.[Akansel],
Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction,
CRV22(98-105)
IEEE DOI 2301
Neural networks, Tactile sensors, Grasping, Data collection, Benchmark testing, Robot sensing systems, Stability analysis, Sensor Fusion BibRef

Gohil, P.[Priteshkumar], Thoduka, S.[Santosh], Plöger, P.G.[Paul G.],
Sensor Fusion and Multimodal Learning for Robotic Grasp Verification Using Neural Networks,
ICPR22(5111-5117)
IEEE DOI 2212
Visualization, Fuses, Neural networks, Sensor fusion, Robot sensing systems, Minimization BibRef

Wu, Y.[Yan], Wang, J.H.[Jia-Hao], Zhang, Y.[Yan], Zhang, S.W.[Si-Wei], Hilliges, O.[Otmar], Yu, F.[Fisher], Tang, S.[Siyu],
SAGA: Stochastic Whole-Body Grasping with Contact,
ECCV22(VI:257-274).
Springer DOI 2211
BibRef

Wang, K.[Kai], Guerrero, P.[Paul], Kim, V.G.[Vladimir G.], Chaudhuri, S.[Siddhartha], Sung, M.[Minhyuk], Ritchie, D.[Daniel],
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts,
ECCV22(III:610-626).
Springer DOI 2211
BibRef

Turpin, D.[Dylan], Wang, L.Q.[Li-Quan], Heiden, E.[Eric], Chen, Y.C.[Yun-Chun], Macklin, M.[Miles], Tsogkas, S.[Stavros], Dickinson, S.[Sven], Garg, A.[Animesh],
Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands,
ECCV22(VI:201-221).
Springer DOI 2211
BibRef

Wen, H.T.[Hong-Tao], Yan, J.H.[Jian-Hang], Peng, W.L.[Wan-Li], Sun, Y.[Yi],
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance,
ECCV22(XXIX:445-461).
Springer DOI 2211
BibRef

Tse, T.H.E.[Tze Ho Elden], Kim, K.I.[Kwang In], Leonardis, A.[Aleš], Chang, H.J.[Hyung Jin],
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution,
CVPR22(1654-1664)
IEEE DOI 2210
Training, Representation learning, Solid modeling, Shape, Convolution, Pose estimation, 3D from single images, Representation learning BibRef

Yang, L.X.[Li-Xin], Li, K.L.[Kai-Lin], Zhan, X.Y.[Xin-Yu], Lv, J.[Jun], Xu, W.Q.[Wen-Qiang], Li, J.F.[Jie-Feng], Lu, C.W.[Ce-Wu],
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis,
CVPR22(2740-2750)
IEEE DOI 2210
Training, Codes, Computational modeling, Pose estimation, Pipelines, 3D from single images, Pose estimation and tracking BibRef

Braun, J.[Jona], Christen, S.[Sammy], Kocabas, M.[Muhammed], Aksan, E.[Emre], Hilliges, O.[Otmar],
Physically Plausible Full-Body Hand-Object Interaction Synthesis,
3DV24(464-473)
IEEE DOI Code:
WWW Link. 2408
Codes, Grasping, Reinforcement learning, Aerospace electronics, Trajectory, Task analysis BibRef

Christen, S.[Sammy], Kocabas, M.[Muhammed], Aksan, E.[Emre], Hwangbo, J.[Jemin], Song, J.[Jie], Hilliges, O.[Otmar],
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions,
CVPR22(20545-20554)
IEEE DOI 2210
Codes, Dynamics, Reinforcement learning, Grasping, Cognition, Face and gestures, Others BibRef

Zhou, K.[Keyang], Bhatnagar, B.L.[Bharat Lal], Lenssen, J.E.[Jan Eric], Pons-Moll, G.[Gerard],
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement,
ECCV22(III:1-19).
Springer DOI 2211
BibRef

Jiang, C.L.[Chang-Long], Xiao, Y.[Yang], Wu, C.[Cunlin], Zhang, M.Y.[Ming-Yang], Zheng, J.H.[Jing-Hong], Cao, Z.G.[Zhi-Guo], Zhou, J.T.Y.[Joey Tian-Yi],
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image,
CVPR23(8846-8855)
IEEE DOI 2309
BibRef

Lin, Z.F.[Zhi-Feng], Ding, C.X.[Chang-Xing], Yao, H.[Huan], Kuang, Z.S.[Zeng-Sheng], Huang, S.L.[Shao-Li],
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation,
CVPR23(12989-12998)
IEEE DOI 2309
BibRef

Yu, Z.C.[Ze-Cheng], Huang, Y.F.[Yi-Fei], Furuta, R.[Ryosuke], Yagi, T.[Takuma], Goutsu, Y.[Yusuke], Sato, Y.[Yoichi],
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos,
WACV23(2154-2162)
IEEE DOI 2302
Annotations, Affordances, Manuals, Predictive models, Task analysis, Videos BibRef

Wang, R.[Rong], Mao, W.[Wei], Li, H.D.[Hong-Dong],
Interacting Hand-Object Pose Estimation via Dense Mutual Attention,
WACV23(5724-5734)
IEEE DOI 2302
Correlation, Codes, Computational modeling, Pose estimation, Benchmark testing, Real-time systems, Algorithms: Biometrics, face, Virtual/augmented reality BibRef

Yang, L.X.[Li-Xin], Li, K.L.[Kai-Lin], Zhan, X.Y.[Xin-Yu], Wu, F.[Fei], Xu, A.[Anran], Liu, L.[Liu], Lu, C.W.[Ce-Wu],
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction,
CVPR22(20921-20930)
IEEE DOI 2210
Visualization, Affordances, Knowledge based systems, Pose estimation, Ink, Benchmark testing, Handover, Pose estimation and tracking BibRef

Hampali, S.[Shreyas], Sarkar, S.D.[Sayan Deb], Rad, M.[Mahdi], Lepetit, V.[Vincent],
Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation,
CVPR22(11080-11090)
IEEE DOI 2210
Heating systems, Pose estimation, Detectors, Transformers, Pose estimation and tracking, Deep learning architectures and techniques BibRef

Goyal, M.[Mohit], Modi, S.[Sahil], Goyal, R.[Rishabh], Gupta, S.[Saurabh],
Human Hands as Probes for Interactive Object Understanding,
CVPR22(3283-3293)
IEEE DOI 2210
Affordances, Probes, Unsupervised learning, Videos, Video analysis and understanding, Self- semi- meta- unsupervised learning BibRef

Ye, Y.F.[Yu-Fei], Gupta, A.[Abhinav], Tulsiani, S.[Shubham],
What's in your hands? 3D Reconstruction of Generic Objects in Hands,
CVPR22(3885-3895)
IEEE DOI 2210
Training, Visualization, Shape, Pose estimation, Rendering (computer graphics), Robustness, 3D from single images BibRef

Jiang, H.W.[Han-Wen], Liu, S.W.[Shao-Wei], Wang, J.S.[Jia-Shun], Wang, X.L.[Xiao-Long],
Hand-Object Contact Consistency Reasoning for Human Grasps Generation,
ICCV21(11087-11096)
IEEE DOI 2203
Training, Cognition, Task analysis, Grippers, Gestures and body pose, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Landgraf, Z.[Zoe], Scona, R.[Raluca], Laidlow, T.[Tristan], James, S.[Stephen], Leutenegger, S.[Stefan], Davison, A.J.[Andrew J.],
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks,
ICCV21(12992-13002)
IEEE DOI 2203
Solid modeling, Shape, Grasping, Predictive models, Probabilistic logic, 3D from a single image and shape-from-x, Vision for robotics and autonomous vehicles BibRef

Wang, C.X.[Chen-Xi], Fang, H.S.[Hao-Shu], Gou, M.H.[Ming-Hao], Fang, H.J.[Hong-Jie], Gao, J.[Jin], Lu, C.W.[Ce-Wu],
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection,
ICCV21(15944-15953)
IEEE DOI 2203
Geometry, Filtering, Computational modeling, Current measurement, Neural networks, Grasping, BibRef

Wu, Y.M.[Yan-Min], Zhang, Y.Z.[Yun-Zhou], Zhu, D.L.[De-Long], Chen, X.[Xin], Coleman, S.[Sonya], Sun, W.K.[Wen-Kai], Hu, X.G.[Xing-Gang], Deng, Z.Q.[Zhi-Qiang],
Object SLAM-Based Active Mapping and Robotic Grasping,
3DV21(1372-1381)
IEEE DOI 2201
Solid modeling, Simultaneous localization and mapping, Uncertainty, Shape, Pose estimation, Grasping, Object SLAM, Robotic Grasping BibRef

Yin, Y.[Yue], McCarthy, C.[Chris], Rezazadegan, D.[Dana],
Real-Time 3D Hand-Object Pose Estimation for Mobile Devices,
ICIP21(3288-3292)
IEEE DOI 2201
Performance evaluation, Solid modeling, Image recognition, Computational modeling, Pose estimation, Memory management, augmented reality BibRef

Cheng, Z.[Zida], Chen, S.[Siheng], Zhang, Y.[Ya],
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning,
ICIP21(3632-3636)
IEEE DOI 2201
Estimation error, Pose estimation, Machine learning, Data collection, Cameras, Hand-object pose estimation, pose dictionary learning BibRef

Xu, S.X.[Si-Xiong], Gong, P.[Pei], Dong, Y.C.[Yan-Chao], Gi, L.L.[Ling-Ling], Huang, C.[Cheng], Wang, S.B.[Si-Biao],
Pose Estimation of Texture-Less Targets for Unconstrained Grasping,
ISVC21(I:466-477).
Springer DOI 2112
BibRef

Grady, P.[Patrick], Tang, C.C.[Cheng-Cheng], Twigg, C.D.[Christopher D.], Vo, M.[Minh], Brahmbhatt, S.[Samarth], Kemp, C.C.[Charles C.],
ContactOpt: Optimizing Contact to Improve Grasps,
CVPR21(1471-1481)
IEEE DOI 2111
Deformable models, Codes, Pose estimation, Biological tissues, Kinematics, Data models BibRef

Liu, H.B.[Hong-Bin], Jia, J.Y.[Jin-Yuan], Gong, N.Z.Q.[Neil Zhen-Qiang],
PointGuard: Provably Robust 3D Point Cloud Classification,
CVPR21(6182-6191)
IEEE DOI 2111
Smoothing methods, Computational modeling, Grasping, Benchmark testing, Prediction algorithms BibRef

Prew, W.[William], Breckon, T.[Toby], Bordewich, M.[Magnus], Beierholm, U.[Ulrik],
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss,
ICPR21(9843-9850)
IEEE DOI 2105
Training, Image color analysis, Grasping, Real-time systems, Task analysis, Grippers BibRef

de Gregorio, D.[Daniele], Zanella, R.[Riccardo], Palli, G.[Gianluca], di Stefano, L.[Luigi],
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings,
ICPR21(7419-7426)
IEEE DOI 2105
Deep learning, Training, Automation, Service robots, Pose estimation, Training data, Grasping BibRef

Cao, Z.[Zhe], Radosavovic, I.[Ilija], Kanazawa, A.[Angjoo], Malik, J.[Jitendra],
Reconstructing Hand-Object Interactions in the Wild,
ICCV21(12397-12406)
IEEE DOI 2203
Solid modeling, Image reconstruction, 3D from a single image and shape-from-x, BibRef

Kwon, T.[Taein], Tekin, B.[Bugra], Stühmer, J.[Jan], Bogo, F.[Federica], Pollefeys, M.[Marc],
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition,
ICCV21(10118-10128)
IEEE DOI 2203
Water, Point cloud compression, Solid modeling, Annotations, Pose estimation, Predictive models, Datasets and evaluation, Gestures and body pose BibRef

Tsoli, A.[Aggeliki], Argyros, A.A.[Antonis A.],
Joint 3D Tracking of a Deformable Object in Interaction with a Hand,
ECCV18(XIV: 504-520).
Springer DOI 1810
BibRef

Arora, P.[Prateek], Papachristos, C.[Christos],
Mobile Manipulator Robot Visual Servoing and Guidance for Dynamic Target Grasping,
ISVC20(II:223-235).
Springer DOI 2103
BibRef

Karunratanakul, K., Tang, S.[Siyu], Zhang, Y., Black, M.J., Muandet, K.[Krikamol], Tang, S.,
Grasping Field: Learning Implicit Representations for Human Grasps,
3DV20(333-344)
IEEE DOI 2102
Grasping, Solid modeling, Image reconstruction, Neural networks, Task analysis, Data models, grasp generation BibRef

Chao, Y.W.[Yu-Wei], Yang, W.[Wei], Xiang, Y.[Yu], Molchanov, P.[Pavlo], Handa, A.[Ankur], Tremblay, J.[Jonathan], Narang, Y.S.[Yashraj S.], van Wyk, K.[Karl], Iqbal, U.[Umar], Birchfield, S.[Stan], Kautz, J.[Jan], Fox, D.[Dieter],
DexYCB: A Benchmark for Capturing Hand Grasping of Objects,
CVPR21(9040-9049)
IEEE DOI 2111
Pose estimation, Grasping, Benchmark testing, Handover, Drives BibRef

Ehsani, K.[Kiana], Han, W.[Winson], Herrasti, A.[Alvaro], VanderBilt, E.[Eli], Weihs, L.[Luca], Kolve, E.[Eric], Kembhavi, A.[Aniruddha], Mottaghi, R.[Roozbeh],
ManipulaTHOR: A Framework for Visual Object Manipulation,
CVPR21(4495-4504)
IEEE DOI 2111
Visualization, Navigation, Mobile agents, Grasping, Manipulators, Planning BibRef

Gong, S., Bahri, M., Bronstein, M.M., Zafeiriou, S.P.[Stefanos P.],
Geometrically Principled Connections in Graph Neural Networks,
CVPR20(11412-11421)
IEEE DOI 2008
Convolution, Neural networks, Machine learning, Kernel, Interpolation, Task analysis, Shape BibRef

Fang, H., Wang, C., Gou, M., Lu, C.,
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping,
CVPR20(11441-11450)
IEEE DOI 2008
Grasping, Cameras, Robot vision systems, Benchmark testing, Machine learning, Robustness BibRef

Shan, D., Geng, J., Shu, M., Fouhey, D.F.,
Understanding Human Hands in Contact at Internet Scale,
CVPR20(9866-9875)
IEEE DOI 2008
Videos, Internet, Image reconstruction, YouTube, Data mining BibRef

James, S.[Stephen], Wohlhart, P.[Paul], Kalakrishnan, M.[Mrinal], Kalashnikov, D.[Dmitry], Irpan, A.[Alex], Ibarz, J.[Julian], Levine, S.[Sergey], Hadsell, R.[Raia], Bousmalis, K.[Konstantinos],
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks,
CVPR19(12619-12629).
IEEE DOI 2002
BibRef

Brahmbhatt, S.[Samarth], Ham, C.[Cusuh], Kemp, C.C.[Charles C.], Hays, J.[James],
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging,
CVPR19(8701-8711).
IEEE DOI 2002
BibRef

Tang, Q.[Qirong], Hu, X.[Xue], Chu, Z.[Zhugang], Wu, S.[Shun],
6d Gripper Pose Estimation from RGB-D Image,
CVS19(120-125).
Springer DOI 1912
BibRef

Kiatos, M.[Marios], Malassiotis, S.[Sotiris],
Grasping Unknown Objects by Exploiting Complementarity with Robot Hand Geometry,
CVS19(88-97).
Springer DOI 1912
BibRef

Gritsenko, P.[Pavel], Gritsenko, I.[Igor], Seidakhmet, A.[Askar], Kwolek, B.[Bogdan],
Plane-Based Humanoid Robot Navigation and Object Model Construction for Grasping,
4DPose18(I:649-664).
Springer DOI 1905
BibRef

Ghazaei, G.[Ghazal], Laina, I.[Iro], Rupprecht, C.[Christian], Tombari, F.[Federico], Navab, N.[Nassir], Nazarpour, K.[Kianoush],
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions,
ACCV18(IV:38-55).
Springer DOI 1906
BibRef

Pandey, R.[Rohit], Pidlypenskyi, P.[Pavel], Yang, S.[Shuoran], Kaeser-Chen, C.[Christine],
Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint,
ECCV18(II: 426-441).
Springer DOI 1810
BibRef

Schröder, M., Ritter, H.,
Hand-Object Interaction Detection with Fully Convolutional Networks,
ActionCh17(1236-1243)
IEEE DOI 1709
Convolutional codes, Data models, Decoding, Labeling, Object tracking, Real-time, systems BibRef

Gupta, K., Burschka, D., Bhavsar, A.,
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions,
Hands16(1232-1239)
IEEE DOI 1612
BibRef

de Gregorio, D.[Daniele], Tombari, F.[Federico], di Stefano, L.[Luigi],
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction,
6DPose16(III: 634-647).
Springer DOI 1611
BibRef

Lakani, S.R.[Safoura Rezapour], Rodríguez-Sánchez, A.J.[Antonio J.], Piater, J.H.[Justus H.],
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts?,
WACV17(82-90)
IEEE DOI 1609
Grasping, Histograms, Semantics, Shape, Visualization BibRef

Dessalene, E.[Eadom], Maynord, M.[Michael], Fermüller, C.[Cornelia], Aloimonos, Y.F.[Yi-Fannis],
Context in Human Action through Motion Complementarity,
WACV24(6517-6526)
IEEE DOI 2404
Codes, Computational modeling, Mutual information, Context modeling, Algorithms, Vision + language and/or other modalities BibRef

Yang, Y.Z.[Ye-Zhou], Fermuller, C.[Cornelia], Li, Y.[Yi], Aloimonos, Y.F.[Yi-Fannis],
Grasp type revisited: A modern perspective on a classical feature for vision,
CVPR15(400-408)
IEEE DOI 1510
BibRef

Huang, D.A.[De-An], Ma, M.H.[Ming-Huang], Ma, W.C.[Wei-Chiu], Kitani, K.M.[Kris M.],
How do we use our hands? Discovering a diverse set of common grasps,
CVPR15(666-675)
IEEE DOI 1510
BibRef

Lakani, S.R.[Safoura Rezapour], Popa, M.[Mirela], Rodriguez-Sanchez, A.J.[Antonio J.], Piater, J.H.[Justus H.],
CPS: 3D Compositional Part Segmentation through Grasping,
CRV15(117-124)
IEEE DOI 1507
Feature extraction BibRef

Kim, J.W., You, S., Ji, S.H., Kim, H.S.,
Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions,
DeepLearnRV17(481-483)
IEEE DOI 1709
Feature extraction, Grasping, Image recognition, Network architecture, Real-time, systems BibRef

Parks, D.[Daniel], Itti, L.[Laurent],
Integrating human context and occlusion reasoning to improve handheld object tracking,
ICIP14(436-440)
IEEE DOI 1502
Cognition BibRef

Thonnagith, P., Sudsang, A.,
New hand posture classification strategy for finding kinematically-feasible precision grasps,
ICARCV10(1583-1588).
IEEE DOI 1109
BibRef

Wörsdörfer, F.[Florian], Stock, F.[Florian], Bayro-Corrochano, E.[Eduardo], Hildenbrand, D.[Dietmar],
Optimizations and Performance of a Robotics Grasping Algorithm Described in Geometric Algebra,
CIARP09(263-271).
Springer DOI 0911
BibRef

Yasumuro, Y.[Yoshihiro], Yamazaki, M.[Masayuki], Imura, M.[Masataka], Manabe, Y.[Yoshitsugu], Chihara, K.[Kunihiro],
Grasp Motion Synthesis Based on Object Features,
AMDO06(305-314).
Springer DOI 0607
BibRef

Taylor, M.J., Blake, A.,
Grasping the Apparent Contour,
ECCV94(B:25-34).
Springer DOI BibRef 9400

Blake, A., Taylor, M.J., and Cox, A.,
Grasping Visual Symmetry,
ICCV93(724-733).
IEEE DOI Symmetry as the locus of bi-tangent circles. BibRef 9300

Gatrell, L.B.[Lance B.],
CAD-Based Grasp Synthesis Utilizing Polygons, Edges, and Vertices,
CRA89(184-189). BibRef 8900

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Carried Objects, Carrying Objects .


Last update:May 14, 2025 at 16:05:19