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20142023
most citedBeyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

152 citations · 1.1k across the 56 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 16 cited

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking

Yunzhong Hou, Liang Zheng, Zhongdao Wang +1

Multi-target multi-camera tracking (MTMCT) systems track targets across cameras. Due to the continuity of target trajectories, tracking systems usually restrict their data associat…

cs.CV2019★ 32 cited

Towards Real-Time Multi-Object Tracking

Zhongdao Wang, Liang Zheng, Yixuan Liu +2

Modern multiple object tracking (MOT) systems usually follow the \emph{tracking-by-detection} paradigm. It has 1) a detection model for target localization and 2) an appearance emb…

cs.CV2019★ 1 cited

Adversarial View-Consistent Learning for Monocular Depth Estimation

Yixuan Liu, Yuwang Wang, Shengjin Wang

This paper addresses the problem of Monocular Depth Estimation (MDE). Existing approaches on MDE usually model it as a pixel-level regression problem, ignoring the underlying geome…

cs.CV2019★ 5 cited

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning

Lanqing He, Zhongdao Wang, Yali Li +1

The softmax loss and its variants are widely used as objectives for embedding learning, especially in applications like face recognition. However, the intra- and inter-class object…

cs.CV2019

CS-R-FCN: Cross-supervised Learning for Large-Scale Object Detection

Ye Guo, Yali Li, Shengjin Wang

Generic object detection is one of the most fundamental problems in computer vision, yet it is difficult to provide all the bounding-box-level annotations aiming at large-scale obj…

cs.CV2019★ 2 cited

Intra-clip Aggregation for Video Person Re-identification

Takashi Isobe, Jian Han, Fang Zhu +2

Video-based person re-identification has drawn massive attention in recent years due to its extensive applications in video surveillance. While deep learning-based methods have led…