Kashyap Chitta
18 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(6)
🤝
Dynamic Duo
(17)
🔬
Deep Specialist
(10)
⚡
Prolific Year
(5)
💎
Century Club
(18)
🚀
Conference Pioneer
🗃️
Keyword Collector
(78)
🔥
Unstoppable
(6)
Conferences
CORL (4)
CVPR (4)
ECCV (3)
NIPS (3)
ICCV (2)
JMLR (1)
WACV (1)
Top co-authors
Keywords
autonomous driving
(9)
imitation learning
(3)
object detection
(2)
policy learning
(2)
transformer architecture
(2)
video prediction
(2)
end-to-end driving
(2)
reinforcement learning
(2)
bird's eye view
(2)
attention mechanism
(2)
sample efficiency
(1)
semantic segmentation
(1)
scene understanding
(1)
temporal reasoning
(1)
zero-shot learning
(1)
multi-modal learning
(1)
motion forecasting
(1)
image generation
(1)
trajectory prediction
(1)
policy evaluation
(1)
Papers
CaRL: Learning Scalable Planning Policies with Simple Rewards
CORL 2025
Pseudo-Simulation for Autonomous Driving
CORL 2025
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
NIPS 2024
Generalized Predictive Model for Autonomous Driving
CVPR 2024
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
ECCV 2024
DriveLM: Driving with Graph Visual Question Answering
ECCV 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
NIPS 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
Projected GANs Converge Faster
NIPS 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
Benchmarking Unsupervised Object Representations for Video Sequences
JMLR 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