most citedSignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

5 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025★ 1 cited

A deep reinforcement learning platform for antibiotic discovery

Hanqun Cao, Marcelo D. T. Torres, Jingjie Zhang +8

Antimicrobial resistance (AMR) is projected to cause up to 10 million deaths annually by 2050, underscoring the urgent need for new antibiotics. Here we present ApexAmphion, a deep…

cs.CV2024★ 1 cited

Point Cloud Understanding via Attention-Driven Contrastive Learning

Yi Wang, Jiaze Wang, Ziyu Guo +5

Recently Transformer-based models have advanced point cloud understanding by leveraging self-attention mechanisms, however, these methods often overlook latent information in less…

cs.CV2024

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

Donghao Zhou, Jiancheng Huang, Jinbin Bai +5

Text-to-image diffusion models can generate high-quality images but lack fine-grained control of visual concepts, limiting their creativity. Thus, we introduce component-controllab…

q-bio.QM2024

Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries

Chunbin Gu, Mutian He, Hanqun Cao +3

In the realm of drug discovery, DNA-encoded library (DEL) screening technology has emerged as an efficient method for identifying high-affinity compounds. However, DEL screening fa…

cs.CV2024★ 1 cited

SFANet: Spatial-Frequency Attention Network for Weather Forecasting

Jiaze Wang, Hao Chen, Hongcan Xu +7

Weather forecasting plays a critical role in various sectors, driving decision-making and risk management. However, traditional methods often struggle to capture the complex dynami…

cs.CV2024

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding

Jiaze Wang, Yi Wang, Ziyu Guo +5

We introduce MM-Mixing, a multi-modal mixing alignment framework for 3D understanding. MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-m…

cs.CV2024★ 5 cited

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

Hao Chen, Jiaze Wang, Ziyu Guo +6

Sign language recognition (SLR) plays a vital role in facilitating communication for the hearing-impaired community. SLR is a weakly supervised task where entire videos are annotat…