131 citations · 648 across the 42 of their papers we have counts for
4 papers · 2 filters
Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories
Li Niu, Ashok Veeraraghavan, Ashu Sabharwal
Fine-grained classification remains a very challenging problem, because of the absence of well-labeled training data caused by the high cost of annotating a large number of fine-gr…
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Wanjia Liu, Huaijin Chen, Rishab Goel +3
Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks. In such framework, besides…
Learning from Noisy Web Data with Category-level Supervision
Li Niu, Qingtao Tang, Ashok Veeraraghavan +1
As tons of photos are being uploaded to public websites (e.g., Flickr, Bing, and Google) every day, learning from web data has become an increasingly popular research direction bec…
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen, Jinwei Gu, Orazio Gallo +3
Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference. Traditional deblurring algorithms leverage the physics of the image forma…