108 citations · 186 across the 11 of their papers we have counts for
11 papers
Enforcing Human-like Kinematics in Dexterous Piano Playing via Adversarial Posture Regularization
Bin Qiu, Yanming Shao, Guanyu Cai +1
Reinforcement learning can train bimanual dexterous hands to play piano in physics simulation with high note accuracy, but for high-DoF dexterous hands, relying solely on task rewa…
All in One: Exploring Unified Video-Language Pre-training
Alex Jinpeng Wang, Yixiao Ge, Rui Yan +7
Mainstream Video-Language Pre-training models \cite{actbert,clipbert,violet} consist of three parts, a video encoder, a text encoder, and a video-text fusion Transformer. They purs…
Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
Guanyu Cai, Yixiao Ge, Binjie Zhang +8
Recent dominant methods for video-language pre-training (VLP) learn transferable representations from the raw pixels in an end-to-end manner to achieve advanced performance on down…
Video-Text Pre-training with Learned Regions
Rui Yan, Mike Zheng Shou, Yixiao Ge +4
Video-Text pre-training aims at learning transferable representations from large-scale video-text pairs via aligning the semantics between visual and textual information. State-of-…
Object-aware Video-language Pre-training for Retrieval
Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai +5
Recently, by introducing large-scale dataset and strong transformer network, video-language pre-training has shown great success especially for retrieval. Yet, existing video-langu…
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint
Guanyu Cai, Lianghua He
Recent advances in unsupervised domain adaptation have seen considerable progress in semantic segmentation. Existing methods either align different domains with adversarial trainin…
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
Guanyu Cai, Jun Zhang, Xinyang Jiang +7
Text-based image retrieval has seen considerable progress in recent years. However, the performance of existing methods suffers in real life since the user is likely to provide an…
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Chenyang Gao, Guanyu Cai, Xinyang Jiang +6
Text-based person search aims at retrieving target person in an image gallery using a descriptive sentence of that person. It is very challenging since modal gap makes effectively…
Learning Smooth Representation for Unsupervised Domain Adaptation
Guanyu Cai, Lianghua He, Mengchu Zhou +2
Typical adversarial-training-based unsupervised domain adaptation methods are vulnerable when the source and target datasets are highly-complex or exhibit a large discrepancy betwe…
Virtual Conditional Generative Adversarial Networks
Haifeng Shi, Guanyu Cai, Yuqin Wang +2
When trained on multimodal image datasets, normal Generative Adversarial Networks (GANs) are usually outperformed by class-conditional GANs and ensemble GANs, but conditional GANs…
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai, Yuqin Wang, Mengchu Zhou +1
Domain adaptation is widely used in learning problems lacking labels. Recent studies show that deep adversarial domain adaptation models can make markable improvements in performan…