Kashyap Chitta
20 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(12)
π€
Dynamic Duo
(18)
π§¬
Topic Evolution
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(95)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Deep Learning
(10)
Computer Vision
(9)
Machine Learning
(6)
Domain-Specific
(6)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Robotics
(3)
Architectures
(3)
Generation
(3)
Models
(3)
Processing
(3)
Reinforcement Learning
(2)
Analysis
(2)
Keywords
autonomous driving
(11)
imitation learning
(4)
end-to-end driving
(3)
object detection
(2)
attention mechanism
(2)
video prediction
(2)
policy learning
(2)
world model
(2)
reinforcement learning
(2)
bird's eye view
(2)
transformer architecture
(2)
sample efficiency
(1)
scene understanding
(1)
semantic segmentation
(1)
sim-to-real transfer
(1)
trajectory prediction
(1)
zero-shot learning
(1)
multimodal learning
(1)
image generation
(1)
chain-of-thought reasoning
(1)
Papers
Latent Chain-of-Thought World Modeling for End-to-End Autonomous Driving
CVPR 2026
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
CVPR 2026
CaRL: Learning Scalable Planning Policies with Simple Rewards
CoRL 2025
Pseudo-Simulation for Autonomous Driving
CoRL 2025
DriveLM: Driving with Graph Visual Question Answering
ECCV 2024
Generalized Predictive Model for Autonomous Driving
CVPR 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
NeurIPS 2024
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
ECCV 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
NeurIPS 2024
Hidden Biases of End-to-End Driving Models
ICCV 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
CoRL 2023
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
ECCV 2022
PlanT: Explainable Planning Transformers via Object-Level Representations
CoRL 2022
Benchmarking Unsupervised Object Representations for Video Sequences
JMLR 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
CVPR 2021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
ICCV 2021
Projected GANs Converge Faster
NeurIPS 2021
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving
CVPR 2020
Learning Situational Driving
CVPR 2020
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
WACV 2020