Gopal Sharma
11 papers · 2018–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (31) π§ Keyword Pioneer π Conference Polyglot (3)
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Academic Marathon
(6)
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Cross-Pollinator
(12)
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Renaissance Researcher
(7)
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Century Club
(11)
β‘
Prolific Year
(5)
Conferences
ECCV (5)
CVPR (3)
NIPS (3)
Top co-authors
Research topics
Keywords
image generation
(1)
structured prediction
(1)
policy gradient
(1)
3d shape generation
(1)
self-supervised learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
scene reconstruction
(1)
program synthesis
(1)
neural rendering
(1)
scene representation
(1)
landmark detection
(1)
markov chain monte carlo
(1)
importance sampling
(1)
reward function
(1)
diffusion model
(1)
recurrent neural network
(1)
3d gaussian splatting
(1)
stochastic gradient langevin dynamics
(1)
unsupervised learning
(1)
Papers
Volumetric Rendering with Baked Quadrature Fields
ECCV 2024
3D Gaussian Splatting as Markov Chain Monte Carlo
NIPS 2024
Unsupervised Keypoints from Pretrained Diffusion Models
CVPR 2024
Accelerating Neural Field Training via Soft Mining
CVPR 2024
"PointNeRF++: A multi-scale, point-based Neural Radiance Field"
ECCV 2024
Unsupervised Semantic Correspondence Using Stable Diffusion
NIPS 2023
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation
ECCV 2022
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
ECCV 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
ECCV 2020
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
NIPS 2019
CSGNet: Neural Shape Parser for Constructive Solid Geometry
CVPR 2018