Kamal Gupta
14 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (15) π§ Keyword Pioneer π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (21)
π€
Dynamic Duo
(14)
π₯
Unstoppable
(5)
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
ECCV (5)
ICCV (4)
CVPR (3)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
self-supervised learning
(3)
vision transformer
(3)
representation learning
(2)
model quantization
(1)
contrastive learning
(1)
neural compression
(1)
lottery ticket hypothesis
(1)
game theory
(1)
object detection
(1)
dense correspondence
(1)
attention mechanism
(1)
instance segmentation
(1)
action recognition
(1)
image alignment
(1)
transformer architecture
(1)
model pruning
(1)
scene layout
(1)
keypoint matching
(1)
implicit neural representation
(1)
unsupervised learning
(1)
Papers
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation
ECCV 2024
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
ECCV 2024
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
ECCV 2024
Investigating Style Similarity in Diffusion Models
ECCV 2024
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
ICLR 2023
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
CVPR 2023
Chop & Learn: Recognizing and Generating Object-State Compositions
ICCV 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
ICCV 2023
ASIC: Aligning Sparse in-the-wild Image Collections
ICCV 2023
Neural Space-Filling Curves
ECCV 2022
LayoutTransformer: Layout Generation and Completion With Self-Attention
ICCV 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NIPS 2021
The Lottery Ticket Hypothesis for Object Recognition
CVPR 2021
PatchVAE: Learning Local Latent Codes for Recognition
CVPR 2020