activity
20192022
most citedBeyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

19 citations · 54 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV20224 cited

Improving Fairness in Image Classification via Sketching

Ruichen Yao, Ziteng Cui, Xiaoxiao Li +1

Fairness is a fundamental requirement for trustworthy and human-centered Artificial Intelligence (AI) system. However, deep neural networks (DNNs) tend to make unfair predictions w…

cs.CV202215 cited

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection

Ziteng Cui, Guo-Jun Qi, Lin Gu +3

Dark environment becomes a challenge for computer vision algorithms owing to insufficient photons and undesirable noise. To enhance object detection in a dark environment, we propo…

cs.CV20223 cited

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Jiawei Zhang, Xiang Wang, Xiao Bai +7

Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains. We…

cs.CV20218 cited

Goal-Oriented Gaze Estimation for Zero-Shot Learning

Yang Liu, Lei Zhou, Xiao Bai +4

Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Since semantic knowledge is built on attributes sha…

cs.CV202019 cited

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

Cheng Yan, Guansong Pang, Xiao Bai +2

Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key…

cs.CV2020

Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning

Yang Liu, Lei Zhou, Xiao Bai +3

Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Though many ZSL methods rely on a direct mapping be…