52 citations · 381 across the 46 of their papers we have counts for
47 papers
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Haiyang Wang, Hao Tang, Shaoshuai Shi +4
Jointly processing information from multiple sensors is crucial to achieving accurate and robust perception for reliable autonomous driving systems. However, current 3D perception…
Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
Qihan Zhao, Xiaofeng Zhang, Hao Tang +2
Image restoration is a low-level visual task, and most CNN methods are designed as black boxes, lacking transparency and intrinsic aesthetics. Many unsupervised approaches ignore t…
Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
Jianyuan Ni, Hao Tang, Anne H. H. Ngu +2
Wearable sensor-based Human Action Recognition (HAR) has made significant strides in recent times. However, the accuracy performance of wearable sensor-based HAR is currently still…
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Hao Tang, Songhua Liu, Tianwei Lin +4
Transformer-based models achieve favorable performance in artistic style transfer recently thanks to its global receptive field and powerful multi-head/layer attention operations.…
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang +1
Synthesizing high-fidelity complex images from text is challenging. Based on large pretraining, the autoregressive and diffusion models can synthesize photo-realistic images. Altho…
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
The generation of natural human motion interactions is a hot topic in computer vision and computer animation. It is a challenging task due to the diversity of possible human motion…