62 citations · 163 across the 29 of their papers we have counts for
6 papers · 2 filters
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang, Xinyang Jiang, Hao Cheng +7
Current training objectives of existing person Re-IDentification (ReID) models only ensure that the loss of the model decreases on selected training batch, with no regards to the p…
Exploring Dynamic Context for Multi-path Trajectory Prediction
Hao Cheng, Wentong Liao, Xuejiao Tang +3
To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. Howeve…
Pruning Filter in Filter
Fanxu Meng, Hao Cheng, Ke Li +4
Pruning has become a very powerful and effective technique to compress and accelerate modern neural networks. Existing pruning methods can be grouped into two categories: filter pr…
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
Shizhen Zhao, Changxin Gao, Jun Zhang +7
In the conventional person Re-ID setting, it is widely assumed that cropped person images are for each individual. However, in a crowded scene, off-shelf-detectors may generate bou…
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
Hao Cheng, Wentong Liao, Michael Ying Yang +2
Trajectory prediction is critical for applications of planning safe future movements and remains challenging even for the next few seconds in urban mixed traffic. How an agent move…
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
Hao Cheng, Wentong Liao, Michael Ying Yang +2
Trajectory prediction in urban mixed-traffic zones (a.k.a. shared spaces) is critical for many intelligent transportation systems, such as intent detection for autonomous driving.…