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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
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.[Ale],
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.[Ale],
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 .