Hengduo Li

36 papers A* 8B 1Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Agent Learning via Early Experience.
CoRR
Kai Zhang, Xiangchao Chen, Bo Liu, Tianci Xue, Zeyi Liao, Zhihan Liu, Xiyao Wang, Yuting Ning, Zhaorun Chen, Xiaohan Fu, Jian Xie, Yuxuan Sun, Boyu Gou, Qi Qi, Zihang Meng, Jianwei Yang, Ning Zhang, Xian Li, Ashish Shah, Dat Huynh, Hengduo Li, Zi Yang, Sara Cao, Lawrence Jang, Shuyan Zhou, Jiacheng Zhu, Huan Sun, Jason Weston, Yu Su, Yifan Wu
2025 J jnl
BMB: Balanced Memory Bank for Long-Tailed Semi-Supervised Learning.
IEEE Trans. Multim.
Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Scaling Agent Learning via Experience Synthesis.
CoRR
Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh
2024 J jnl
HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Zejia Weng, Zuxuan Wu, Hengduo Li, Jingjing Chen, Yu-Gang Jiang
2024 A* conf
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.
CVPR
Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024 J jnl
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.
CoRR
Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024 A* conf
Object Recognition as Next Token Prediction.
CVPR
Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim
2024 — conf
SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
ECCV (38)
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning.
CoRR
Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu
2023 J jnl
Object Recognition as Next Token Prediction.
CoRR
Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim
2023 J jnl
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
CoRR
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
A Dynamic Frame Selection Framework for Fast Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Zuxuan Wu, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2022 A* conf
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CVPR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2022 — —
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding.
Hengduo Li
2022 — conf
Efficient Video Transformers with Spatial-Temporal Token Selection.
ECCV (35)
Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang
2022 A* conf
Rethinking Pseudo Labels for Semi-supervised Object Detection.
AAAI
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2022 J jnl
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors.
CoRR
Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2022 — conf
Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors.
ECCV (1)
Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2021 A* conf
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
CVPR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2021 J jnl
A Coarse-to-Fine Framework for Resource Efficient Video Recognition.
Int. J. Comput. Vis.
Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2021 J jnl
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CoRR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2021 J jnl
Efficient Video Transformers with Spatial-Temporal Token Selection.
CoRR
Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
HMS: Hierarchical Modality Selection for Efficient Video Recognition.
CoRR
Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang
2021 J jnl
Rethinking Pseudo Labels for Semi-Supervised Object Detection.
CoRR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2020 J jnl
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
CoRR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2020 J jnl
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers.
CoRR
Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein
2020 A* conf
Learning From Noisy Anchors for One-Stage Object Detection.
CVPR
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2019 J jnl
An Analysis of Pre-Training on Object Detection.
CoRR
Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
2019 J jnl
Learning from Noisy Anchors for One-stage Object Detection.
CoRR
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2019 A* conf
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets.
ICML
Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
2019 J jnl
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets.
CoRR
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
2018 A* conf
R-FCN-3000 at 30fps: Decoupling Detection and Classification.
CVPR
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis
2017 J jnl
Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos.
IEEE Signal Process. Lett.
Guyue Zhang, Jun Liu, Hengduo Li, Yan Qiu Chen, Larry S. Davis
2017 J jnl
Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection.
CoRR
Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu
2017 B conf
Multi-glimpse LSTM with color-depth feature fusion for human detection.
ICIP
Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu
2017 J jnl
R-FCN-3000 at 30fps: Decoupling Detection and Classification.
CoRR
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis