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- Larry T. Davis
aka: Larry Taylor Davis
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Publication search results
found 131 matches
- 2024
- Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV 2024: 1506-1516 - 2023
- Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang, Larry S. Davis:
Towards Transferable Adversarial Attacks on Image and Video Transformers. IEEE Trans. Image Process. 32: 6346-6358 (2023) - Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV 2023: 4421-4429 - 2022
- Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. WACV 2022: 2293-2303 - Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022) - 2021
- Ahmed Taha, Abhinav Shrivastava, Larry S. Davis:
Knowledge Evolution in Neural Networks. CVPR 2021: 12843-12852 - Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry S. Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework for Distance Metric Learning. CVPR 2021: 9644-9653 - Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. CVPR 2021: 7567-7576 - Soubhik Sanyal, Betty J. Mohler, Alex Vorobiov, Larry Davis, Timo Bolkart, Javier Romero, Matthew Loper, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. ICCV 2021: 11118-11127 - Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis:
PSANet - subspace attention for personalized compatibility. ICDM 2021: 1354-1360 - Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis:
SVMax: A Feature Embedding Regularizer. CoRR abs/2103.02770 (2021) - Ahmed Taha, Abhinav Shrivastava, Larry Davis:
Knowledge Evolution in Neural Networks. CoRR abs/2103.05152 (2021) - Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim:
THAT: Two Head Adversarial Training for Improving Robustness at Scale. CoRR abs/2103.13612 (2021) - Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR abs/2104.01198 (2021) - Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. CoRR abs/2104.11896 (2021) - Soubhik Sanyal, Alex Vorobiov, Timo Bolkart, Matthew Loper, Betty J. Mohler, Larry Davis, Javier Romero, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. CoRR abs/2110.05458 (2021) - 2020
- Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. AAAI 2020: 5636-5643 - Yen-Liang Lin, Son Dinh Tran, Larry S. Davis:
Fashion Outfit Complementary Item Retrieval. CVPR 2020: 3308-3316 - Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR 2020: 11910-11919 - Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) 2020: 510-526 - Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. ECCV (17) 2020: 734-750 - Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. ECCV (4) 2020: 1-17 - Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Boosting Standard Classification Architectures Through a Ranking Regularizer. WACV 2020: 747-755 - Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR abs/2004.01170 (2020) - Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. CoRR abs/2007.09748 (2020) - Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis:
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR abs/2007.09785 (2020) - Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework For Distance Metric Learning. CoRR abs/2011.10269 (2020) - 2019
- Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-Negative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 246-259 (2019)
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