Vijay Mahadevan
16 papers · 2007–2024 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (7) π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer π Academic Marathon (17)
πΊοΈ
Taxonomy Completionist
(40)
π
Conference Polyglot
(7)
π
Academic Marathon
(17)
π
Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
π
Century Club
(16)
ποΈ
Keyword Collector
(88)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
CVPR (4)
ICCV (4)
NIPS (3)
NAACL (2)
AAAI (1)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
attention mechanism
(2)
vision-language model
(2)
multimodal learning
(2)
knowledge distillation
(2)
transformer architecture
(2)
dimensionality reduction
(2)
encoder-decoder transformer
(2)
cross-modal retrieval
(2)
action recognition
(1)
background subtraction
(1)
feature learning
(1)
temporal dynamics
(1)
scene understanding
(1)
visual saliency
(1)
multi-task learning
(1)
feature extraction
(1)
named entity recognition
(1)
question answering
(1)
object tracking
(1)
manifold learning
(1)
Papers
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
NAACL 2024
No Head Left Behind β Multi-Head Alignment Distillation for Transformers
AAAI 2024
Enhancing Vision-Language Pre-training with Rich Supervisions
CVPR 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
EMNLP 2024
Multiple-Question Multiple-Answer Text-VQA
NAACL 2024
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation
CVPR 2023
DocTr: Document Transformer for Structured Information Extraction in Documents
ICCV 2023
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries
ICCV 2021
LayoutTransformer: Layout Generation and Completion With Self-Attention
ICCV 2021
End-to-End Piece-Wise Unwarping of Document Images
ICCV 2021
VLAD3: Encoding Dynamics of Deep Features for Action Recognition
CVPR 2016
Cluster Canonical Correlation Analysis
AISTATS 2014
Learning Optimal Seeds for Diffusion-based Salient Object Detection
CVPR 2014
On the connections between saliency and tracking
NIPS 2012
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
NIPS 2011
The discriminant center-surround hypothesis for bottom-up saliency
NIPS 2007