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portfolio
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publications
Learning Context Graph for Person Search
Published in CVPR, 2019 (Oral)
Authors: Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
In this work, we build a graph learning framework to employ context information for person search.
Variational Few-Shot Learning
Published in ICCV, 2019
Authors: Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang
In this work, we propose a variational Bayesian framework to approximate bias-eliminated class specific sample distributions for few-shot learning.
Fine-grained Video Captioning via Graph-based Multi-granularity Interaction Learning
Published in TPAMI, 2019
Authors: Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zhang Zheng, Shuo Cheng, Qi Tian, Xiaokang Yang, Wenjun Zhang
In this work, we collect a new video dataset from YouTube.com, called Sports Video Narrative (SVN), for fine-grained sports auto-narrative. Also, we propose a novel framework to encode both intra- and inter- team interactions.
Adversarial Domain Adaptation with Domain Mixup
Published in AAAI, 2020 (Oral)
Authors: Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang
In this work, we propose to promote adversarial domain adaptation with both pixel-level and feature-level domain mixup.
Cross-domain Detection via Graph-induced Prototype Alignment
Published in CVPR, 2020 (Oral)
Authors: Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang
In this work, we propose a Graph-induced Prototype Alignment (GPA) framework to align source and target domain for cross-domain detection tasks.
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Published in ECCV, 2020
Authors: Hang Wang*, Minghao Xu*, Bingbing Ni, Wenjun Zhang (* equal contribution)
In this work, we propose a Learning to Combine framework, in which the knowledges acquired from multiple source domains are aggregated and applied to the target domain.
talks
Oral presentation for Adversarial Domain Adaptation with Domain Mixup
Published in AAAI, 2020
This is a remote talk on the AAAI 2020 conference. In this work, we propose to promote adversarial domain adaptation with both pixel-level and feature-level domain mixup.
Oral presentation for Cross-domain Detection via Graph-induced Prototype Alignment
Published in CVPR, 2020
This is a remote talk on the CVPR 2020 conference. In this work, we propose a Graph-induced Prototype Alignment (GPA) framework to align source and target domain for cross-domain detection tasks.
Poster presentation for Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Published in ECCV, 2020
This is a remote talk on the ECCV 2020 conference. In this work, we propose a Learning to Combine framework, in which the knowledges acquired from multiple source domains are aggregated and applied to the target domain.
teaching
Teaching experience 1
Published in University 1, Department, 2014
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Teaching experience 2
Published in University 1, Department, 2015
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