Apratim Bhattacharyya
10 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
(57)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(7)
Machine Learning
(6)
Deep Learning
(5)
Models
(4)
Computer Vision
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Robotics
(1)
Analysis
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Keywords
trajectory prediction
(3)
variational inference
(2)
uncertainty quantification
(2)
vision-language model
(2)
latent space
(2)
autonomous driving
(2)
multimodal prediction
(2)
scene understanding
(1)
bayesian inference
(1)
action recognition
(1)
multimodal learning
(1)
knowledge distillation
(1)
joint inference
(1)
motion forecasting
(1)
object detection
(1)
object tracking
(1)
visual reasoning
(1)
video understanding
(1)
image synthesis
(1)
density estimation
(1)
Papers
Distilling Multi-modal Large Language Models for Autonomous Driving
CVPR 2025
ClevrSkills: Compositional Language And Visual Reasoning in Robotics
NeurIPS 2024
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
ICLR 2024
What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
NeurIPS 2024
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
ECCV 2022
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
CVPR 2021
Normalizing Flows With Multi-Scale Autoregressive Priors
CVPR 2020
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
ICLR 2019
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective
CVPR 2018
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty
CVPR 2018