110 citations · 420 across the 55 of their papers we have counts for
12 papers · 1 filter
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation
Dipika Singhania, Rahul Rahaman, Angela Yao
Temporal action segmentation tags action labels for every frame in an input untrimmed video containing multiple actions in a sequence. For the task of temporal action segmentation,…
UV-Based 3D Hand-Object Reconstruction with Grasp Optimization
Ziwei Yu, Linlin Yang, You Xie +2
We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image. The representation of hand-object contact regions is criti…
Temporal Action Segmentation: An Analysis of Modern Techniques
Guodong Ding, Fadime Sener, Angela Yao
Temporal action segmentation (TAS) in videos aims at densely identifying video frames in minutes-long videos with multiple action classes. As a long-range video understanding task,…
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
Yuehan Zhang, Bo Ji, Jia Hao +1
In image super-resolution, both pixel-wise accuracy and perceptual fidelity are desirable. However, most deep learning methods only achieve high performance in one aspect due to th…
Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation
Guodong Ding, Angela Yao
We present a semi-supervised learning approach to the temporal action segmentation task. The goal of the task is to temporally detect and segment actions in long, untrimmed procedu…
A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation
Rahul Rahaman, Dipika Singhania, Alexandre Thiery +1
In temporal action segmentation, Timestamp supervision requires only a handful of labelled frames per video sequence. For unlabelled frames, previous works rely on assigning hard l…
Discrete-Constrained Regression for Local Counting Models
Haipeng Xiong, Angela Yao
Local counts, or the number of objects in a local area, is a continuous value by nature. Yet recent state-of-the-art methods show that formulating counting as a classification task…
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov +4
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants work without fixed instruc…
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates
You Xie, Huiqi Mao, Angela Yao +1
We propose a novel approach to generate temporally coherent UV coordinates for loose clothing. Our method is not constrained by human body outlines and can capture loose garments a…
Multi-Scale Memory-Based Video Deblurring
Bo Ji, Angela Yao
Video deblurring has achieved remarkable progress thanks to the success of deep neural networks. Most methods solve for the deblurring end-to-end with limited information propagati…
A Closer Look at Branch Classifiers of Multi-exit Architectures
Shaohui Lin, Bo Ji, Rongrong Ji +1
Multi-exit architectures consist of a backbone and branch classifiers that offer shortened inference pathways to reduce the run-time of deep neural networks. In this paper, we anal…
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
Joya Chen, Kai Xu, Yuhui Wang +2
A standard hardware bottleneck when training deep neural networks is GPU memory. The bulk of memory is occupied by caching intermediate tensors for gradient computation in the back…