29 citations · 148 across the 29 of their papers we have counts for
9 papers · 1 filter
IMD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
Yunyao Mao, Jiajun Deng, Wengang Zhou +3
Recent progresses on self-supervised 3D human action representation learning are largely attributed to contrastive learning. However, in conventional contrastive frameworks, the ri…
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
Xuanyu Yi, Jiajun Deng, Qianru Sun +3
We tackle the data scarcity challenge in few-shot point cloud recognition of 3D objects by using a joint prediction from a conventional 3D model and a well-trained 2D model. Surpri…
SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
Hao Feng, Wendi Wang, Jiajun Deng +3
In fisheye images, rich distinct distortion patterns are regularly distributed in the image plane. These distortion patterns are independent of the visual content and provide infor…
Masked Motion Predictors are Strong 3D Action Representation Learners
Yunyao Mao, Jiajun Deng, Wengang Zhou +3
In 3D human action recognition, limited supervised data makes it challenging to fully tap into the modeling potential of powerful networks such as transformers. As a result, resear…
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
Yufei Yin, Jiajun Deng, Wengang Zhou +2
Recent progress in weakly supervised object detection is featured by a combination of multiple instance detection networks (MIDN) and ordinal online refinement. However, with only…
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
Yingjie Wang, Jiajun Deng, Yao Li +6
LiDAR and Radar are two complementary sensing approaches in that LiDAR specializes in capturing an object's 3D shape while Radar provides longer detection ranges as well as velocit…