Mihir Jain
11 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (18) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(54)
π
Century Club Β· Bronze
β
The Questioner
π
Conference Pioneer
Top co-authors
Research topics
Computer Vision
(8)
Analysis
(7)
Deep Learning
(5)
Machine Learning
(5)
Learning Types Β· Machine Learning
(4)
Processing
(4)
Artificial Intelligence
(3)
Core AI
(3)
Architectures
(2)
Core Methods
(2)
Application Areas
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
action recognition
(7)
video understanding
(4)
action localization
(4)
weakly supervised learning
(3)
knowledge distillation
(2)
cross-attention mechanism
(2)
zero-shot learning
(2)
object detection
(1)
attention mechanism
(1)
temporal dynamics
(1)
self-supervised learning
(1)
video classification
(1)
video segmentation
(1)
video recognition
(1)
video analysis
(1)
semantic representation
(1)
audio-visual fusion
(1)
motion estimation
(1)
skip-gram model
(1)
image generation
(1)
Papers
UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
CVPR 2025
Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics
ICCV 2023
Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization
WACV 2022
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
ICLR 2021
Efficient Action Recognition via Dynamic Knowledge Propagation
ICCV 2021
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
ICCV 2021
ActionBytes: Learning From Trimmed Videos to Localize Actions
CVPR 2020
Objects2action: Classifying and Localizing Actions Without Any Video Example
ICCV 2015
What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?
CVPR 2015
Action Localization with Tubelets from Motion
CVPR 2014
Better Exploiting Motion for Better Action Recognition
CVPR 2013