87 citations · 376 across the 31 of their papers we have counts for
8 papers · 1 filter
Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge
Fangzhou Mu, Sicheng Mo, Gillian Wang +1
This report describes our submission to the Ego4D Moment Queries Challenge 2022. Our submission builds on ActionFormer, the state-of-the-art backbone for temporal action localizati…
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
Sicheng Mo, Fangzhou Mu, Yin Li
This report describes Badgers@UW-Madison, our submission to the Ego4D Natural Language Queries (NLQ) Challenge. Our solution inherits the point-based event representation from our…
3D Scene Inference from Transient Histograms
Sacha Jungerman, Atul Ingle, Yin Li +1
Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once limited to niche applications but are now rapidly becoming mainstream in consumer devices.…
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
Sizhe An, Yin Li, Umit Ogras
The ability to estimate 3D human body pose and movement, also known as human pose estimation (HPE), enables many applications for home-based health monitoring, such as remote rehab…
Robust Scene Inference under Noise-Blur Dual Corruptions
Bhavya Goyal, Jean-François Lalonde, Yin Li +1
Scene inference under low-light is a challenging problem due to severe noise in the captured images. One way to reduce noise is to use longer exposure during the capture. However,…
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Zhuoran Yu, Yin Li, Yong Jae Lee
Recent state-of-the-art methods in semi-supervised learning (SSL) combine consistency regularization with confidence-based pseudo-labeling. To obtain high-quality pseudo-labels, a…
Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
Fangzhou Mu, Sicheng Mo, Jiayong Peng +5
Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging, is becoming a reality thanks to major advances in imaging hardware and reconstruction algo…
ActionFormer: Localizing Moments of Actions with Transformers
Chenlin Zhang, Jianxin Wu, Yin Li
Self-attention based Transformer models have demonstrated impressive results for image classification and object detection, and more recently for video understanding. Inspired by t…