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2020 – today
- 2024
[j4]Zejia Weng
, Zuxuan Wu, Hengduo Li, Jingjing Chen, Yu-Gang Jiang:
HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 35:1-35:18 (2024)- [c12]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CVPR 2024: 13504-13514 - [c11]Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim:
Object Recognition as Next Token Prediction. CVPR 2024: 16645-16656 - [c10]Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang:
SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation. ECCV (38) 2024: 203-220 - [i16]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR abs/2404.05726 (2024) - 2023
- [i15]Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu:
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning. CoRR abs/2305.12912 (2023) - [i14]Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang:
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation. CoRR abs/2311.14671 (2023) - [i13]Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim:
Object Recognition as Next Token Prediction. CoRR abs/2312.02142 (2023) - 2022
- [b1]Hengduo Li:
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding. University of Maryland, College Park, MD, USA, 2022 - [j3]Zuxuan Wu, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1699-1711 (2022) - [c9]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI 2022: 1314-1322 - [c8]Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim:
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. CVPR 2022: 12299-12308 - [c7]Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang:
Efficient Video Transformers with Spatial-Temporal Token Selection. ECCV (35) 2022: 69-86 - [c6]Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors. ECCV (1) 2022: 535-551 - [i12]Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors. CoRR abs/2209.15383 (2022) - 2021
- [j2]Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Coarse-to-Fine Framework for Resource Efficient Video Recognition. Int. J. Comput. Vis. 129(11): 2965-2977 (2021) - [c5]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR 2021: 6155-6164 - [i11]Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang:
HMS: Hierarchical Modality Selection for Efficient Video Recognition. CoRR abs/2104.09760 (2021) - [i10]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. CoRR abs/2106.00168 (2021) - [i9]Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang:
Efficient Video Transformers with Spatial-Temporal Token Selection. CoRR abs/2111.11591 (2021) - [i8]Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim:
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. CoRR abs/2111.15668 (2021) - 2020
- [c4]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. CVPR 2020: 10585-10594 - [i7]Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein:
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. CoRR abs/2002.09766 (2020) - [i6]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CoRR abs/2012.14950 (2020)
2010 – 2019
- 2019
- [c3]Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. ICML 2019: 7614-7623 - [i5]Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis:
An Analysis of Pre-Training on Object Detection. CoRR abs/1904.05871 (2019) - [i4]Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. CoRR abs/1905.05897 (2019) - [i3]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning from Noisy Anchors for One-stage Object Detection. CoRR abs/1912.05086 (2019) - 2018
- [c2]Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis:
R-FCN-3000 at 30fps: Decoupling Detection and Classification. CVPR 2018: 1081-1090 - 2017
- [j1]Guyue Zhang, Jun Liu, Hengduo Li, Yan Qiu Chen, Larry S. Davis:
Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos. IEEE Signal Process. Lett. 24(11): 1666-1670 (2017) - [c1]Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu:
Multi-glimpse LSTM with color-depth feature fusion for human detection. ICIP 2017: 905-909 - [i2]Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu:
Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection. CoRR abs/1711.01062 (2017) - [i1]Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis:
R-FCN-3000 at 30fps: Decoupling Detection and Classification. CoRR abs/1712.01802 (2017)
Coauthor Index
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