activity
20162021
most citedJoint Detection and Identification Feature Learning for Person Search

59 citations · 110 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 16 cited

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search

Peidong Liu, Gengwei Zhang, Bochao Wang +4

Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models. For object detection, the well-establishe…

cs.CV2020★ 6 cited

VEGA: Towards an End-to-End Configurable AutoML Pipeline

Bochao Wang, Hang Xu, Jiajin Zhang +21

Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models. However, designing an integrated Auto…

cs.CV2019★ 17 cited

Towards Multi-pose Guided Virtual Try-on Network

Haoye Dong, Xiaodan Liang, Bochao Wang +3

Virtual try-on system under arbitrary human poses has huge application potential, yet raises quite a lot of challenges, e.g. self-occlusions, heavy misalignment among diverse poses…

cs.CV2018★ 12 cited

Toward Characteristic-Preserving Image-based Virtual Try-On Network

Bochao Wang, Huabin Zheng, Xiaodan Liang +3

Image-based virtual try-on systems for fitting new in-shop clothes into a person image have attracted increasing research attention, yet is still challenging. A desirable pipeline…

cs.CV2016★ 59 cited

Joint Detection and Identification Feature Learning for Person Search

Tong Xiao, Shuang Li, Bochao Wang +2

Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates. However, it is different from real-world…