18 citations · 36 across the 14 of their papers we have counts for
14 papers
Towards Imbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
Tianshu Yu, Changqun Xia, Jia Li
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, simplicity of existi…
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
Tianshu Yu, Haoyu Gao, Ting-En Lin +6
Recently, speech-text pre-training methods have shown remarkable success in many speech and natural language processing tasks. However, most previous pre-trained models are usually…
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu +1
Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. Naive application of conventional multi-task le…
ASP: Learn a Universal Neural Solver!
Chenguang Wang, Zhouliang Yu, Stephen McAleer +2
Applying machine learning to combinatorial optimization problems has the potential to improve both efficiency and accuracy. However, existing learning-based solvers often struggle…
Learning to Decouple Complex Systems
Zihan Zhou, Tianshu Yu
A complex system with cluttered observations may be a coupled mixture of multiple simple sub-systems corresponding to latent entities. Such sub-systems may hold distinct dynamics i…
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs
Weihuang Wen, Tianshu Yu
The Boolean Satisfiability (SAT) problem stands out as an attractive NP-complete problem in theoretic computer science and plays a central role in a broad spectrum of computing-rel…
View-aware Salient Object Detection for 360° Omnidirectional Image
Junjie Wu, Changqun Xia, Tianshu Yu +1
Image-based salient object detection (ISOD) in 360° scenarios is significant for understanding and applying panoramic information. However, research on 360° ISOD has not been widel…
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features
Shanchao Yang, Kaili Ma, Baoxiang Wang +2
Improving the resilience of a network is a fundamental problem in network science, which protects the underlying system from natural disasters and malicious attacks. This is tradit…
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
Runzhong Wang, Tianqi Zhang, Tianshu Yu +2
Graph Edit Distance (GED) is a popular similarity measurement for pairwise graphs and it also refers to the recovery of the edit path from the source graph to the target graph. Tra…
Variational Wasserstein Barycenters for Geometric Clustering
Liang Mi
We propose to compute Wasserstein barycenters (WBs) by solving for Monge maps with variational principle. We discuss the metric properties of WBs and explore their connections, esp…
Recognizing Video Events with Varying Rhythms
Yikang Li, Tianshu Yu, Baoxin Li
Recognizing Video events in long, complex videos with multiple sub-activities has received persistent attention recently. This task is more challenging than traditional action reco…
Plan-Recognition-Driven Attention Modeling for Visual Recognition
Yantian Zha, Yikang Li, Tianshu Yu +2
Human visual recognition of activities or external agents involves an interplay between high-level plan recognition and low-level perception. Given that, a natural question to ask…
Weakly Supervised Attention Learning for Textual Phrases Grounding
Zhiyuan Fang, Shu Kong, Tianshu Yu +1
Grounding textual phrases in visual content is a meaningful yet challenging problem with various potential applications such as image-text inference or text-driven multimedia inter…
Joint Cuts and Matching of Partitions in One Graph
Tianshu Yu, Junchi Yan, Jieyi Zhao +1
As two fundamental problems, graph cuts and graph matching have been investigated over decades, resulting in vast literature in these two topics respectively. However the way of jo…