Multi-glimpse LSTM with color-depth feature fusion for human detection. - Hengduo Li; Jun Liu 036; Guyue Zhang; Yuan Gao; Yirui Wu (ICIP, 2017)

Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos. - Guyue Zhang; Jun Liu 036; Hengduo Li; Yan Qiu Chen; Larry S. Davis (IEEE Signal Process. Lett., 2017)

R-FCN-3000 at 30fps: Decoupling Detection and Classification. - Bharat Singh; Hengduo Li; Abhishek Sharma 001; Larry S. Davis (CVPR, 2018)

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Chen Zhu 001; W. Ronny Huang; Hengduo Li; Gavin Taylor; Christoph Studer; Tom Goldstein (ICML, 2019)

An Analysis of Pre-Training on Object Detection. - Hengduo Li; Bharat Singh; Mahyar Najibi; Zuxuan Wu; Larry S. Davis (CoRR, 2019)

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Chen Zhu 001; W. Ronny Huang; Ali Shafahi; Hengduo Li; Gavin Taylor; Christoph Studer; Tom Goldstein (CoRR, 2019)

Learning From Noisy Anchors for One-Stage Object Detection. - Hengduo Li; Zuxuan Wu; Chen Zhu 001; Caiming Xiong; Richard Socher; Larry S. Davis (CVPR, 2020)

Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. - Chen Zhu 001; Renkun Ni; Ping-Yeh Chiang; Hengduo Li; Furong Huang; Tom Goldstein (CoRR, 2020)

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (CVPR, 2021)

HMS: Hierarchical Modality Selection for Efficient Video Recognition. - Zejia Weng; Zuxuan Wu; Hengduo Li; Yu-Gang Jiang 001 (CoRR, 2021)

Efficient Video Transformers with Spatial-Temporal Token Selection. - Junke Wang; Xitong Yang; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2021)

A Coarse-to-Fine Framework for Resource Efficient Video Recognition. - Zuxuan Wu; Hengduo Li; Yingbin Zheng; Caiming Xiong; Yu-Gang Jiang 001; Larry S. Davis (Int. J. Comput. Vis., 2021)

Rethinking Pseudo Labels for Semi-supervised Object Detection. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (AAAI, 2022)

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. - Lingchen Meng; Hengduo Li; Bor-Chun Chen; Shiyi Lan; Zuxuan Wu; Yu-Gang Jiang 001; Ser-Nam Lim (CVPR, 2022)

Efficient Video Transformers with Spatial-Temporal Token Selection. - Junke Wang; Xitong Yang; Hengduo Li; Li Liu; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (35), 2022)

Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors. - Zhen Xing; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (1), 2022)

A Dynamic Frame Selection Framework for Fast Video Recognition. - Zuxuan Wu; Hengduo Li; Caiming Xiong; Yu-Gang Jiang 001; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding. - Hengduo Li (2022)

BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning. - Wujian Peng; Zejia Weng; Hengduo Li; Zuxuan Wu (CoRR, 2023)

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. - Bo He 004; Hengduo Li; Young Kyun Jang; Menglin Jia; Xuefei Cao; Ashish Shah; Abhinav Shrivastava; Ser-Nam Lim (CVPR, 2024)

Object Recognition as Next Token Prediction. - Kaiyu Yue; Bor-Chun Chen; Jonas Geiping; Hengduo Li; Tom Goldstein; Ser-Nam Lim (CVPR, 2024)

SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation. - Lingchen Meng; Shiyi Lan; Hengduo Li; José M. Álvarez 004; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (38), 2024)

HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition. - Zejia Weng; Zuxuan Wu; Hengduo Li; Jingjing Chen 001; Yu-Gang Jiang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

BMB: Balanced Memory Bank for Long-Tailed Semi-Supervised Learning. - Wujian Peng; Zejia Weng; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2025)