Hengduo Li
Hengduo Li
Department of Computer Science, University of Maryland
Verified email at cs.umd.edu - Homepage
Cited by
Cited by
Transferable clean-label poisoning attacks on deep neural nets
C Zhu, WR Huang, A Shafahi, H Li, G Taylor, C Studer, T Goldstein
ICML 2019, 2019
R-FCN-3000 at 30fps: Decoupling Detection and Classification
B Singh*, H Li*, A Sharma, LS Davis
CVPR 2018, 2018
Joint human detection and head pose estimation via multistream networks for RGB-D videos
G Zhang, J Liu, H Li, YQ Chen, LS Davis
IEEE Signal Processing Letters 24 (11), 1666-1670, 2017
Learning from noisy anchors for one-stage object detection
H Li, Z Wu, C Zhu, C Xiong, R Socher, LS Davis
CVPR 2020, 2020
An analysis of pre-training on object detection
H Li, B Singh, M Najibi, Z Wu, LS Davis
arXiv preprint arXiv:1904.05871, 2019
Multi-glimpse LSTM with color-depth feature fusion for human detection
H Li, J Liu, G Zhang, Y Gao, Y Wu
ICIP 2017, 2017
A Dynamic Frame Selection Framework for Fast Video Recognition
Z Wu, H Li, C Xiong, YG Jiang, LS Davis
IEEE TPAMI 2020, 2020
2D or not 2D? Adaptive 3d Convolution Selection for Efficient Video Recognition
H Li, Z Wu, A Shrivastava, LS Davis
CVPR 2021, 2021
Improving the tightness of convex relaxation bounds for training certifiably robust classifiers
C Zhu, R Ni, P Chiang, H Li, F Huang, T Goldstein
arXiv preprint arXiv:2002.09766, 2020
Rethinking Pseudo Labels for Semi-Supervised Object Detection
H Li, Z Wu, A Shrivastava, LS Davis
arXiv preprint arXiv:2106.00168, 2021
HMS: Hierarchical Modality Selectionfor Efficient Video Recognition
Z Weng, Z Wu, H Li, YG Jiang
arXiv preprint arXiv:2104.09760, 2021
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