28 citations · 47 across the 6 of their papers we have counts for
6 papers
SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Haisong Liu, Yao Teng, Tao Lu +2
Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great attention over the past few years. Dense detectors typically follow a two-stage pipeline by first co…
Memory-and-Anticipation Transformer for Online Action Understanding
Jiahao Wang, Guo Chen, Yifei Huang +2
Most existing forecasting systems are memory-based methods, which attempt to mimic human forecasting ability by employing various memory mechanisms and have progressed in temporal…
MixFormerV2: Efficient Fully Transformer Tracking
Yutao Cui, Tianhui Song, Gangshan Wu +1
Transformer-based trackers have achieved strong accuracy on the standard benchmarks. However, their efficiency remains an obstacle to practical deployment on both GPU and CPU platf…
LinK: Linear Kernel for LiDAR-based 3D Perception
Tao Lu, Xiang Ding, Haisong Liu +2
Extending the success of 2D Large Kernel to 3D perception is challenging due to: 1. the cubically-increasing overhead in processing 3D data; 2. the optimization difficulties from d…
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
Guo Chen, Sen Xing, Zhe Chen +18
In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, includin…
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022
Yin-Dong Zheng, Guo Chen, Jiahao Wang +2
Capturing the state changes of interacting objects is a key technology for understanding human-object interactions. This technical report describes our method using heterogeneous b…