activity
20182023
most cited1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

12 citations · 16 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 4 cited

NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation

Jiefeng Li, Siyuan Bian, Qi Liu +3

With the progress of 3D human pose and shape estimation, state-of-the-art methods can either be robust to occlusions or obtain pixel-aligned accuracy in non-occlusion cases. Howeve…

cs.CV2021

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

Chong Liu, Yuqi Zhang, Hao Luo +6

Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions. This paper describes our solution to the Track 3…

cs.CV2021★ 12 cited

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

Fei Du, Bo Xu, Jiasheng Tang +3

We extend the classical tracking-by-detection paradigm to this tracking-any-object task. Solid detection results are first extracted from TAO dataset. Some state-of-the-art techniq…

cs.LG2018

Large-scale Distance Metric Learning with Uncertainty

Qi Qian, Jiasheng Tang, Hao Li +2

Distance metric learning (DML) has been studied extensively in the past decades for its superior performance with distance-based algorithms. Most of the existing methods propose to…

cs.LG2018

Robust Optimization over Multiple Domains

Qi Qian, Shenghuo Zhu, Jiasheng Tang +3

In this work, we study the problem of learning a single model for multiple domains. Unlike the conventional machine learning scenario where each domain can have the corresponding m…