Tianyuan Zhang 「张天远」

I am a second-year master student in Robotics Institute at CMU, supervised by Prof. Srinivasa Narasimhan. Previously, I finished my undergraduate in School of EECS at Peking University, working with Prof. Zhanxing Zhu , and Prof. Hang Zhao.

I work on computational imaging, and computer vision.

Email: tianyuaz [at] andrew [dot] cmu [dot] edu

CV  /  Google Scholar  /  Github /  Portfolio     

I'm interested in physiscs-based vision, computational imaging and computer graphics.

We propose a real-time intermediate flow estimation (RIFE) method for video frame interpolation, it runs 30+FPS for 2X 720p interpolation on a 2080Ti GPU

In contrast to 2D, object size in 3D does not exhibit long-tail distributions. We propose a single stride sparse Transformer (SST) for 3D object detection. We obtained impressive results on small objects

A new paradigm of 3D object detection from multiview 2D images

End-to-End 3D tracking with multiview-cameras

A unified framework for 3D detection from multi-sensor data. We achieved impressive results with multiview-cameras and one-beam LiDAR.

We provide a high-quality large-scale object detection dataset, with 365 categories, 638K images, and 10,101K bounding boxes

Accelerating adversarial training using Pontryagin`s Maximum Principle

Discussion on the shape-bias and texture-bias of adversarially trainined convolutional neural networks

Program Committee member / Reviewer: CVPR' 2021, NeurIPS' 2020, ICLR' 2021