Awesome Computer Vision
๐
Papers
๐งญ
Topics
๐ฅ
Trending
๐บ๏ธ
Map
๐
Leaderboards
๐
Learn
๐ค
Ask AI
โฏ
More
๐ฅ
Authors
๐
Reading Packs
๐
Datasets
๐ ๏ธ
Tools
๐ฐ
News
๐
Blogs
โ๏ธ
Newsletter
๐ฏ
Research Radar
๐
Saved
+ Add Paper
โพ
โ
โ authors
ยท
overview
Loading authorโฆ
๐ค
Ask AI
Anurag Arnab โ most-cited papers & profile ยท Computer Vision
โ authors
ยท
overview
Anurag Arnab
25
papers ยท
797
citations ยท
26
h-index
Google (United States) ยท Google DeepMind (United Kingdom)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
2017 ยท 245 citations
Weakly- and Semi-Supervised Panoptic Segmentation
2018 ยท 179 citations
Scaling Vision Transformers to 22 Billion Parameters
2023 ยท 118 citations
Simple Open-Vocabulary Object Detection with Vision Transformers
2022 ยท 64 citations
PaLI-X: On Scaling up a Multilingual Vision and Language Model
2023 ยท 39 citations
Streaming Dense Video Captioning
2024 ยท 38 citations
Holistic, Instance-Level Human Parsing
2017 ยท 23 citations
How can objects help action recognition?
2023 ยท 17 citations
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
2021 ยท 12 citations
Multiview Transformers for Video Recognition
2022 ยท 4 citations
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
2023 ยท 4 citations
End-to-End Spatio-Temporal Action Localisation with Video Transformers
2023 ยท 3 citations
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
2021 ยท 2 citations
Dense Video Object Captioning from Disjoint Supervision
2023 ยท 2 citations
UnLoc: A Unified Framework for Video Localization Tasks
2023 ยท 2 citations
Top co-authors
Cordelia Schmid
ยท 9
Arsha Nagrani
ยท 6
Mostafa Dehghani
ยท 6
Chen Sun
ยท 5
Xuehan Xiong
ยท 5
Xingyi Zhou
ยท 4
Alexey Gritsenko
ยท 3
Josip Djolonga
ยท 3
Matthias Minderer
ยท 3
Neil Houlsby
ยท 3
Xiaohua Zhai
ยท 3
Xiao Wang
ยท 3
Topics
Video Understanding
Object Detection
Segmentation
Visual Language
3D Vision
Tracking
Image Generation