activity
20152022
most citedClothing Co-Parsing by Joint Image Segmentation and Labeling

154 citations · 1.2k across the 77 of their papers we have counts for

collaborators

134 papers

cs.CV202111 cited

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

Bowen Wu, Zhenyu Xie, Xiaodan Liang +3

Transferring human motion from a source to a target person poses great potential in computer vision and graphics applications. A crucial step is to manipulate sequential future mot…

cs.CL2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Guolin Zheng, Yubei Xiao, Ke Gong +3

Unifying acoustic and linguistic representation learning has become increasingly crucial to transfer the knowledge learned on the abundance of high-resource language data for low-r…

cs.CV2021

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

Junkai Huang, Chaowei Fang, Weikai Chen +5

Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data. Whil…

cs.CV20217 cited

Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Jie Wu, Wei Zhang, Guanbin Li +5

In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video. Specifically, given an untrimmed video,…

cs.CL2021

Towards Quantifiable Dialogue Coherence Evaluation

Zheng Ye, Liucun Lu, Lishan Huang +2

Automatic dialogue coherence evaluation has attracted increasing attention and is crucial for developing promising dialogue systems. However, existing metrics have two major limita…

cs.CV2021

Solving Inefficiency of Self-supervised Representation Learning

Guangrun Wang, Keze Wang, Guangcong Wang +2

Self-supervised learning (especially contrastive learning) has attracted great interest due to its huge potential in learning discriminative representations in an unsupervised mann…