research
∙
07/11/2023
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Video-language pre-training (VLP) has become increasingly important due ...
share
research
∙
12/17/2022
A Brief Survey on Person Recognition at a Distance
Person recognition at a distance entails recognizing the identity of an ...
research
∙
12/11/2022
DiffAlign : Few-shot learning using diffusion based synthesis and alignment
We address the problem of few-shot classification where the goal is to l...
research
∙
04/29/2022
Where in the World is this Image? Transformer-based Geo-localization in the Wild
Predicting the geographic location (geo-localization) from a single grou...
research
∙
04/16/2022
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting
We study multimodal few-shot object detection (FSOD) in this paper, usin...
research
∙
01/12/2022
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach
Research shows a noticeable drop in performance of object detectors when...
research
∙
12/09/2021
Mutual Adversarial Training: Learning together is better than going alone
Recent studies have shown that robustness to adversarial attacks can be ...
research
∙
07/28/2021
To Boost or not to Boost: On the Limits of Boosted Neural Networks
Boosting is a method for finding a highly accurate hypothesis by linearl...
research
∙
10/16/2020
Pose And Joint-Aware Action Recognition
Most human action recognition systems typically consider static appearan...
research
∙
12/09/2019
cGANs with Multi-Hinge Loss
We propose a new algorithm to incorporate class conditional information ...
research
∙
09/20/2018
A Fast and Accurate System for Face Detection, Identification, and Verification
The availability of large annotated datasets and affordable computation ...
research
∙
11/04/2016
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Recent progress in face detection (including keypoint detection), and re...
research
∙
08/17/2012
