MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction

1 code implementation • bioRxiv 2023 • Yilun Zhang, Wentao Wang, Jiahui Guan, Deepak Kumar Jain, Tianyang Wang, Swalpa Kumar Roy

Drug-target interactions (DTIs) is essential for advancing pharmaceuticals.

Drug–drug Interaction Extraction

On the Importance of Spatial Relations for Few-shot Action Recognition

no code implementations • 14 Aug 2023 • Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

We are thus motivated to investigate the importance of spatial relations and propose a more accurate few-shot action recognition method that leverages both spatial and temporal information.

Few-Shot action recognition Few Shot Action Recognition +1

A real-time spatiotemporal AI model analyzes skill in open surgical videos

no code implementations • 14 Dec 2021 • Emmett D. Goodman, Krishna K. Patel, Yilun Zhang, William Locke, Chris J. Kennedy, Rohan Mehrotra, Stephen Ren, Melody Guan, Maren Downing, Hao Wei Chen, Jevin Z. Clark, Gabriel A. Brat, Serena Yeung

Open procedures represent the dominant form of surgery worldwide.

DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance

no code implementations • 15 Mar 2019 • Yilun Zhang, Ty Nguyen, Ian D. Miller, Shreyas S. Shivakumar, Steven Chen, Camillo J. Taylor, Vijay Kumar

Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution.

Autonomous Vehicles Depth Completion +2

Multiview Supervision By Registration

1 code implementation • 27 Nov 2018 • Yilun Zhang, Hyun Soo Park

This paper presents a semi-supervised learning framework to train a keypoint detector using multiview image streams given the limited labeled data (typically $<$4\%).

3D Reconstruction Keypoint Detection +2