Keutmann, M.K.
Standard Author Listing
with: Cao, H.: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
with: Cooper, D.G.: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
with: Gur, R.C.: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
with: Nenkova, A.: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
with: Verma, R.: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
Keutzer, K.
Standard Author Listing
with: Alley, M.: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: Sc...
with: Anderson, M.J.: Communication-minimizing 2D convolution in GPU registers
with: Ashraf, K.: FireCaffe: Near-Linear Acceleration of Deep Neural Network...
with: Brockman, S.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multisca...
with: Brox, T.: Dense Point Trajectories by GPU-Accelerated Large Displaceme...
with: Brutch, T.G.: Parallel BFS graph traversal on images using structured ...
with: Brutch, T.G.: parallel region based object recognition system, A
with: Cai, Y.H.: ZeroQ: A Novel Zero Shot Quantization Framework
with: Candido, S.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscal...
with: Catanzaro, B.: Efficient, High-quality Image Contour Detection
with: Chen, X.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN f...
with: Chua, T.S.: Affective Image Content Analysis: Two Decades Review and N...
with: Clipp, B.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale ...
with: Dai, X.L.: FBNet: Hardware-Aware Efficient ConvNet Design via Differen...
with: Dai, X.L.: Visual Transformers: Where Do Transformers Really Belong in...
with: Darrell, T.J.: Learning Invariant Representations and Risks for Semi-s...
with: Darrell, T.J.: Multitask Vision-Language Prompt Tuning
with: Darrell, T.J.: Prototypical Cross-domain Self-supervised Learning for ...
with: Darrell, T.J.: Region Similarity Representation Learning
with: Darrell, T.J.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multisc...
with: Darrell, T.J.: Self-Supervised Pretraining Improves Self-Supervised Pr...
with: Darrell, T.J.: SelfAugment: Automatic Augmentation Policies for Self-S...
with: Demmel, J.: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: S...
with: Ding, G.: Affective Image Content Analysis: Two Decades Review and New...
with: Ding, G.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN f...
with: Ding, G.G.: Emotion Recognition From Multiple Modalities: Fundamentals...
with: Ding, G.G.: MADAN: Multi-source Adversarial Domain Aggregation Network...
with: Dong, Z.: HAWQ: Hessian AWare Quantization of Neural Networks With Mix...
with: Dong, Z.: Hessian-Aware Pruning and Optimal Neural Implant
with: Dong, Z.: NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Qua...
with: Dong, Z.: Q-Diffusion: Quantizing Diffusion Models
with: Dong, Z.: QD-BEV : Quantization-aware View-guided Distillation for Mul...
with: Dong, Z.: ZeroQ: A Novel Zero Shot Quantization Framework
with: Du, L.: NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quant...
with: Du, L.: QD-BEV : Quantization-aware View-guided Distillation for Multi...
with: Du, Y.: QD-BEV : Quantization-aware View-guided Distillation for Multi...
with: Ebrahimi, S.: Self-Supervised Pretraining Improves Self-Supervised Pre...
with: Fathi, A.: PreTraM: Self-supervised Pre-training via Connecting Trajec...
with: Funk, C.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale G...
with: Galanti, T.: Image2Point: 3D Point-Cloud Understanding with 2D Image P...
with: Gao, Y.: Prototypical Cross-domain Self-supervised Learning for Few-sh...
with: Gholami, A.: HAWQ: Hessian AWare Quantization of Neural Networks With ...
with: Gholami, A.: Hessian-Aware Pruning and Optimal Neural Implant
with: Gholami, A.: SqueezeNext: Hardware-Aware Neural Network Design
with: Gholami, A.: Trust Region Based Adversarial Attack on Neural Networks
with: Gholami, A.: ZeroQ: A Novel Zero Shot Quantization Framework
with: Gholaminejad, A.: Shift: A Zero FLOP, Zero Parameter Alternative to Sp...
with: Golmant, N.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial...
with: Gong, B.: Domain Randomization and Pyramid Consistency: Simulation-to-...
with: Gonzalez, J.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatia...
with: Gonzalez, J.: Visual Transformers: Where Do Transformers Really Belong...
with: Gonzalez, J.E.: Multitask Vision-Language Prompt Tuning
with: Gudovskiy, D.: MTTrans: Cross-domain Object Detection with Mean Teache...
with: Guillory, D.: Self-Supervised Pretraining Improves Self-Supervised Pre...
with: Gupta, R.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale ...
with: He, Z.J.: NeRF-Det: Learning Geometry-Aware Volumetric Representation ...
with: Hou, J.: NeRF-Det: Learning Geometry-Aware Volumetric Representation f...
with: Iandola, F.: SqueezeDet: Unified, Small, Low Power Fully Convolutional...
with: Iandola, F.N.: Communication-minimizing 2D convolution in GPU registers
with: Iandola, F.N.: FireCaffe: Near-Linear Acceleration of Deep Neural Netw...
with: Jia, G.: Affective Image Content Analysis: Two Decades Review and New ...
with: Jia, G.: Emotion Recognition From Multiple Modalities: Fundamentals an...
with: Jia, Y.Q.: FBNet: Hardware-Aware Efficient ConvNet Design via Differen...
with: Jin, P.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Con...
with: Jin, P.: SqueezeNext: Hardware-Aware Neural Network Design
with: Jin, P.H.: SqueezeDet: Unified, Small, Low Power Fully Convolutional N...
with: Kang, D.: Q-Diffusion: Quantizing Diffusion Models
with: Kim, S.H.: Hessian-Aware Pruning and Optimal Neural Implant
with: Krishna, R.: Emotional Semantics-Preserved and Feature-Aligned CycleGA...
with: Kwon, K.: SqueezeNext: Hardware-Aware Neural Network Design
with: Lee, Y.: Efficient, High-quality Image Contour Detection
with: Li, B.: Learning Invariant Representations and Risks for Semi-supervis...
with: Li, B.: MADAN: Multi-source Adversarial Domain Aggregation Network for...
with: Li, B.: Self-Supervised Pretraining Improves Self-Supervised Pretraining
with: Li, D.S.: Learning Invariant Representations and Risks for Semi-superv...
with: Li, J.X.: MTTrans: Cross-domain Object Detection with Mean Teacher Tra...
with: Li, R.: NeRF-Det: Learning Geometry-Aware Volumetric Representation fo...
with: Li, S.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geo...
with: Li, T.: PreTraM: Self-supervised Pre-training via Connecting Trajector...
with: Li, X.: Q-Diffusion: Quantizing Diffusion Models
with: Lian, L.: Q-Diffusion: Quantizing Diffusion Models
with: Lin, C.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN fo...
with: Liu, J.M.: MTTrans: Cross-domain Object Detection with Mean Teacher Tr...
with: Liu, Y.J.: NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Qu...
with: Liu, Y.J.: Q-Diffusion: Quantizing Diffusion Models
with: Lu, M.: QD-BEV : Quantization-aware View-guided Distillation for Multi...
with: Lu, Y.H.: Open-Vocabulary Point-Cloud Object Detection without 3D Anno...
with: Lustig, M.: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: S...
with: Mahoney, M.: HAWQ: Hessian AWare Quantization of Neural Networks With ...
with: Mahoney, M.W.: Hessian-Aware Pruning and Optimal Neural Implant
with: Mahoney, M.W.: Trust Region Based Adversarial Attack on Neural Networks
with: Mahoney, M.W.: ZeroQ: A Novel Zero Shot Quantization Framework
with: Mao, R.: Self-Supervised Pretraining Improves Self-Supervised Pretrain...
with: Metzger, S.: Self-Supervised Pretraining Improves Self-Supervised Pret...
with: Metzger, S.: SelfAugment: Automatic Augmentation Policies for Self-Sup...
with: Moskewicz, M.W.: FireCaffe: Near-Linear Acceleration of Deep Neural Ne...
with: Murphy, M.: Efficient, High-quality Image Contour Detection
with: Murphy, M.: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: S...
with: Nakata, Y.: MTTrans: Cross-domain Object Detection with Mean Teacher T...
with: Nrusimha, A.: Self-Supervised Pretraining Improves Self-Supervised Pre...
with: Okuno, T.: MTTrans: Cross-domain Object Detection with Mean Teacher Tr...
with: Phothilimthana, P.M.: Communication-minimizing 2D convolution in GPU r...
with: Rakotosaona, M.J.: SparseFusion: Fusing Multi-Modal Sparse Representat...
with: Reed, C.J.: Region Similarity Representation Learning
with: Reed, C.J.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale...
with: Reed, C.J.: Self-Supervised Pretraining Improves Self-Supervised Pretr...
with: Reed, C.J.: SelfAugment: Automatic Augmentation Policies for Self-Supe...
with: Rim, P.: SparseFusion: Fusing Multi-Modal Sparse Representations for M...
with: Sangiovanni Vincentelli, A.: Domain Randomization and Pyramid Consiste...
with: Sangiovanni Vincentelli, A.L.: Emotional Semantics-Preserved and Featu...
with: Schuller, B.W.: Affective Image Content Analysis: Two Decades Review a...
with: Sheffield, D.: Communication-minimizing 2D convolution in GPU registers
with: Shen, S.: Multitask Vision-Language Prompt Tuning
with: Srinivas, A.: SelfAugment: Automatic Augmentation Policies for Self-Su...
with: Su, B.Y.: Efficient, High-quality Image Contour Detection
with: Su, B.Y.: Parallel BFS graph traversal on images using structured grid
with: Su, B.Y.: parallel region based object recognition system, A
with: Sun, F.: FBNet: Hardware-Aware Efficient ConvNet Design via Differenti...
with: Sun, L.F.: PreTraM: Self-supervised Pre-training via Connecting Trajec...
with: Sundaram, N.: Dense Point Trajectories by GPU-Accelerated Large Displa...
with: Sundaram, N.: Efficient, High-quality Image Contour Detection
with: Sundaram, N.: Long term video segmentation through pixel level spectra...
with: Tai, Z.: SqueezeNext: Hardware-Aware Neural Network Design
with: Tang, C.: PreTraM: Self-supervised Pre-training via Connecting Traject...
with: Tian, Y.D.: FBNet: Hardware-Aware Efficient ConvNet Design via Differe...
with: Tombari, F.: SparseFusion: Fusing Multi-Modal Sparse Representations f...
with: Tomizuka, M.: Image2Point: 3D Point-Cloud Understanding with 2D Image ...
with: Tomizuka, M.: NeRF-Det: Learning Geometry-Aware Volumetric Representat...
with: Tomizuka, M.: Open-Vocabulary Point-Cloud Object Detection without 3D ...
with: Tomizuka, M.: PreTraM: Self-supervised Pre-training via Connecting Tra...
with: Tomizuka, M.: SparseFusion: Fusing Multi-Modal Sparse Representations ...
with: Tomizuka, M.: Squeezesegv3: Spatially-adaptive Convolution for Efficie...
with: Tomizuka, M.: Visual Transformers: Where Do Transformers Really Belong...
with: Tsai, S.: NeRF-Det: Learning Geometry-Aware Volumetric Representation ...
with: Tseng, C.C.: QD-BEV : Quantization-aware View-guided Distillation for ...
with: Uyttendaele, M.T.: Scale-MAE: A Scale-Aware Masked Autoencoder for Mul...
with: Vajda, P.: FBNet: Hardware-Aware Efficient ConvNet Design via Differen...
with: Vajda, P.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pre...
with: Vajda, P.: NeRF-Det: Learning Geometry-Aware Volumetric Representation...
with: Vajda, P.: Squeezesegv3: Spatially-adaptive Convolution for Efficient ...
with: Vajda, P.: Visual Transformers: Where Do Transformers Really Belong in...
with: Vasanawala, S.: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MR...
with: Vijaykumar, V.: Self-Supervised Pretraining Improves Self-Supervised P...
with: Vincentelli, A.S.: Prototypical Cross-domain Self-supervised Learning ...
with: Wan, A.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Con...
with: Wan, A.: Visual Transformers: Where Do Transformers Really Belong in V...
with: Wang, J.L.: NeRF-Det: Learning Geometry-Aware Volumetric Representatio...
with: Wang, X.L.: Region Similarity Representation Learning
with: Wang, Y.H.: FBNet: Hardware-Aware Efficient ConvNet Design via Differe...
with: Wang, Y.Z.: Learning Invariant Representations and Risks for Semi-supe...
with: Wang, Z.: Squeezesegv3: Spatially-adaptive Convolution for Efficient P...
with: Wei, X.B.: MTTrans: Cross-domain Object Detection with Mean Teacher Tr...
with: Wei, X.B.: Open-Vocabulary Point-Cloud Object Detection without 3D Ann...
with: Wu, B.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pretra...
with: Wu, B.: NeRF-Det: Learning Geometry-Aware Volumetric Representation fo...
with: Wu, B.: SqueezeDet: Unified, Small, Low Power Fully Convolutional Neur...
with: Wu, B.: SqueezeNext: Hardware-Aware Neural Network Design
with: Wu, B.: Squeezesegv3: Spatially-adaptive Convolution for Efficient Poi...
with: Wu, B.: Visual Transformers: Where Do Transformers Really Belong in Vi...
with: Wu, B.C.: FBNet: Hardware-Aware Efficient ConvNet Design via Different...
with: Wu, B.C.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Co...
with: Wu, Y.M.: FBNet: Hardware-Aware Efficient ConvNet Design via Different...
with: Xiao, T.: Region Similarity Representation Learning
with: Xie, X.D.: Open-Vocabulary Point-Cloud Object Detection without 3D Ann...
with: Xie, Y.C.: SparseFusion: Fusing Multi-Modal Sparse Representations for...
with: Xu, C.F.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pret...
with: Xu, C.F.: NeRF-Det: Learning Geometry-Aware Volumetric Representation ...
with: Xu, C.F.: Open-Vocabulary Point-Cloud Object Detection without 3D Anno...
with: Xu, C.F.: PreTraM: Self-supervised Pre-training via Connecting Traject...
with: Xu, C.F.: SparseFusion: Fusing Multi-Modal Sparse Representations for ...
with: Xu, C.F.: Squeezesegv3: Spatially-adaptive Convolution for Efficient P...
with: Xu, C.F.: Visual Transformers: Where Do Transformers Really Belong in ...
with: Xu, P.: Trust Region Based Adversarial Attack on Neural Networks
with: Xu, P.F.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN f...
with: Xu, P.F.: MADAN: Multi-source Adversarial Domain Aggregation Network f...
with: Yan, Z.C.: Visual Transformers: Where Do Transformers Really Belong in...
with: Yang, H.: QD-BEV : Quantization-aware View-guided Distillation for Mul...
with: Yang, H.R.: NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Q...
with: Yang, H.R.: Q-Diffusion: Quantizing Diffusion Models
with: Yang, J.F.: Affective Image Content Analysis: Two Decades Review and N...
with: Yang, J.F.: Emotion Recognition From Multiple Modalities: Fundamentals...
with: Yang, J.F.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN...
with: Yang, S.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pret...
with: Yang, S.: Multitask Vision-Language Prompt Tuning
with: Yao, X.X.: Affective Image Content Analysis: Two Decades Review and Ne...
with: Yao, Z.: HAWQ: Hessian AWare Quantization of Neural Networks With Mixe...
with: Yao, Z.W.: Hessian-Aware Pruning and Optimal Neural Implant
with: Yao, Z.W.: Trust Region Based Adversarial Attack on Neural Networks
with: Yao, Z.W.: ZeroQ: A Novel Zero Shot Quantization Framework
with: Yu, J.Z.: MTTrans: Cross-domain Object Detection with Mean Teacher Tra...
with: Yu, S.X.: Hessian-Aware Pruning and Optimal Neural Implant
with: Yue, X.: Domain Randomization and Pyramid Consistency: Simulation-to-R...
with: Yue, X.: SqueezeNext: Hardware-Aware Neural Network Design
with: Yue, X.Y.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN ...
with: Yue, X.Y.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pre...
with: Yue, X.Y.: MADAN: Multi-source Adversarial Domain Aggregation Network ...
with: Yue, X.Y.: Prototypical Cross-domain Self-supervised Learning for Few-...
with: Yue, X.Y.: Self-Supervised Pretraining Improves Self-Supervised Pretra...
with: Yue, X.Y.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial C...
with: Zhai, B.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pret...
with: Zhai, B.: Multitask Vision-Language Prompt Tuning
with: Zhan, W.: Image2Point: 3D Point-Cloud Understanding with 2D Image Pret...
with: Zhan, W.: NeRF-Det: Learning Geometry-Aware Volumetric Representation ...
with: Zhan, W.: PreTraM: Self-supervised Pre-training via Connecting Traject...
with: Zhan, W.: SparseFusion: Fusing Multi-Modal Sparse Representations for ...
with: Zhan, W.: Squeezesegv3: Spatially-adaptive Convolution for Efficient P...
with: Zhang, P.Z.: FBNet: Hardware-Aware Efficient ConvNet Design via Differ...
with: Zhang, P.Z.: Visual Transformers: Where Do Transformers Really Belong ...
with: Zhang, S.H.: Learning Invariant Representations and Risks for Semi-sup...
with: Zhang, S.H.: MTTrans: Cross-domain Object Detection with Mean Teacher ...
with: Zhang, S.H.: NoisyQuant: Noisy Bias-Enhanced Post-Training Activation ...
with: Zhang, S.H.: Open-Vocabulary Point-Cloud Object Detection without 3D A...
with: Zhang, S.H.: Prototypical Cross-domain Self-supervised Learning for Fe...
with: Zhang, S.H.: Q-Diffusion: Quantizing Diffusion Models
with: Zhang, S.H.: QD-BEV : Quantization-aware View-guided Distillation for ...
with: Zhang, S.H.: Self-Supervised Pretraining Improves Self-Supervised Pret...
with: Zhang, T.J.: Multitask Vision-Language Prompt Tuning
with: Zhang, Y.: Domain Randomization and Pyramid Consistency: Simulation-to...
with: Zhang, Y.F.: QD-BEV : Quantization-aware View-guided Distillation for ...
with: Zhao, H.: Learning Invariant Representations and Risks for Semi-superv...
with: Zhao, S.: Domain Randomization and Pyramid Consistency: Simulation-to-...
with: Zhao, S.: SqueezeNext: Hardware-Aware Neural Network Design
with: Zhao, S.C.: Affective Image Content Analysis: Two Decades Review and N...
with: Zhao, S.C.: Emotion Recognition From Multiple Modalities: Fundamentals...
with: Zhao, S.C.: Emotional Semantics-Preserved and Feature-Aligned CycleGAN...
with: Zhao, S.C.: MADAN: Multi-source Adversarial Domain Aggregation Network...
with: Zhao, S.C.: Shift: A Zero FLOP, Zero Parameter Alternative to Spatial ...
with: Zheng, Z.W.: Prototypical Cross-domain Self-supervised Learning for Fe...
with: Zhou, H.Y.: MTTrans: Cross-domain Object Detection with Mean Teacher T...
229 for Keutzer, K.