15 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 15 cited
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li, Caiming Xiong, Richard Socher +1
Training deep object detectors requires significant amount of human-annotated images with accurate object labels and bounding box coordinates, which are extremely expensive to acqu…
cs.CV2020★ 1 cited
Weakly-Supervised Multi-Person Action Recognition in 360 Videos
Junnan Li, Jianquan Liu, Yongkang Wong +2
The recent development of commodity 360 cameras have enabled a single video to capture an entire scene, which endows promising potentials in surveillance scenarios. Howev…
cs.CV2020★ 3 cited
GradMix: Multi-source Transfer across Domains and Tasks
Junnan Li, Ziwei Xu, Yongkang Wong +2
The computer vision community is witnessing an unprecedented rate of new tasks being proposed and addressed, thanks to the deep convolutional networks' capability to find complex m…