Steerable models can provide very general and flexible equivariance by
f...
Deep neural networks are able to memorize noisy labels easily with a sof...
Weakly supervised object localization (WSOL) focuses on localizing objec...
Weakly supervised object localization (WSOL) relaxes the requirement of ...
Semi-supervised video action recognition tends to enable deep neural net...
Most of existing video action recognition models ingest raw RGB frames.
...
In this paper, we show our solution to the Google Landmark Recognition 2...
Retrieving occlusion relation among objects in a single image is challen...
The nonlocal-based blocks are designed for capturing long-range
spatial-...
Generative adversarial networks (GANs) studies have grown exponentially ...
Contrastive learning applied to self-supervised representation learning ...
In this paper, we propose MINE to perform novel view synthesis and depth...
Superpixel is generated by automatically clustering pixels in an image i...
Spatial-temporal, channel-wise, and motion patterns are three complement...
In the last few years, we have witnessed a renewed and fast-growing inte...
This report summarizes IROS 2019-Lifelong Robotic Vision Competition
(Li...
Egocentric gestures are the most natural form of communication for human...
Generative adversarial networks (GANs) are increasingly attracting atten...
The recent breakthroughs in computer vision have benefited from the
avai...
Service robots should be able to operate autonomously in dynamic and dai...
The nonlocal network is designed for capturing long-range spatial-tempor...
Pedestrian trajectory prediction is a challenging task because of the
co...
Latent dynamics discovery is challenging in extracting complex dynamics ...
Generative adversarial networks (GANs) have been extensively studied in ...
Generative adversarial networks (GANs) are increasingly attracting atten...
State-of-the-art Convolutional Neural Network (CNN) benefits a lot from
...
In this letter, a Hierarchical Parametric Empirical Bayes model is propo...