Aravindh Mahendran
14 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Deep Learning
(9)
Core Methods
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
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(6)
Learning Types Β· Machine Learning
(5)
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(4)
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(3)
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(3)
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(2)
Generation
(2)
Optimization & Theory
(2)
Keywords
slot attention
(5)
self-supervised learning
(4)
representation learning
(4)
object-centric learning
(3)
3d reconstruction
(2)
unsupervised learning
(2)
video understanding
(2)
instance segmentation
(2)
patch selection
(2)
transfer learning
(2)
object-centric representation
(2)
object detection
(2)
novel view synthesis
(2)
attention mechanism
(2)
vision transformer
(2)
high-resolution image
(2)
video segmentation
(1)
semantic segmentation
(1)
pose estimation
(1)
image reconstruction
(1)
Papers
Token Cropr: Faster ViTs for Quite a Few Tasks
CVPR 2025
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
ICML 2023
Iterative Patch Selection for High-Resolution Image Recognition
ICLR 2023
RUST: Latent Neural Scene Representations From Unposed Imagery
CVPR 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Conditional Object-Centric Learning from Video
ICLR 2022
Object Scene Representation Transformer
NeurIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NeurIPS 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
ECCV 2022
Differentiable Patch Selection for Image Recognition
CVPR 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach
WACV 2021
Object-Centric Learning with Slot Attention
NeurIPS 2020
Self-Supervised Learning of Video-Induced Visual Invariances
CVPR 2020
Understanding Deep Image Representations by Inverting Them
CVPR 2015