Rishabh Kabra
11 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
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Keyword Collector
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Deep Learning
(9)
Computer Vision
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Learning Types · Deep Learning
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Machine Learning
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Artificial Intelligence
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Analysis
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Learning Types · Machine Learning
(4)
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Core AI · Artificial Intelligence
(3)
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Core AI · Computer Vision
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Reinforcement Learning
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Bayesian & Probabilistic
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scene understanding
(3)
variational inference
(2)
self-supervised learning
(2)
diffusion model
(2)
video understanding
(2)
unsupervised learning
(2)
disentangled representation
(2)
video representation
(2)
visual representation
(1)
depth estimation
(1)
reinforcement learning
(1)
multimodal learning
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knowledge distillation
(1)
instance segmentation
(1)
image generation
(1)
scene segmentation
(1)
3d pose estimation
(1)
gaussian process
(1)
object segmentation
(1)
variational approach
(1)
Papers
A Mixed Diet Makes DINO An Omnivorous Vision Encoder
CVPR 2026
COBALT: Censored Optimization and Bayesian Active Learning Techniques
UAI 2026
From Image to Video: An Empirical Study of Diffusion Representations
ICCV 2025
Leveraging VLM-Based Pipelines to Annotate 3D Objects
ICML 2024
Moving Off-the-Grid: Scene-Grounded Video Representations
NeurIPS 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
NeurIPS 2024
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization
ICCV 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
NeurIPS 2021
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
NeurIPS 2021
An Investigation of Model-Free Planning
ICML 2019
Multi-Object Representation Learning with Iterative Variational Inference
ICML 2019