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20132026
most citedSemantic Foggy Scene Understanding with Synthetic Data

1.4k citations · 2.6k across the 155 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

ϕ-RIE: From Photorealistic Reconstruction to Interactive Environments

Runyi Yang, Deheng Zhang, Xiaoye Wang +6

3D Gaussian Splatting (3DGS) can reconstruct a captured scene photorealistically, but the resulting representation does not by itself support physical interaction. Robot simulation…

cs.RO2026

CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding

Zhikun Zhou, Kunyu Peng, Runyi Yang +7

Referring scene understanding for embodied robots requires grounding object- and relation-centric language queries from a designated viewpoint. While a local semantic Gaussian map…

cs.RO2026

AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models

Yutong Hu, Jan-Nico Zaech, Nikolay Nikolov +6

We propose a standalone autoregressive (AR) Action Expert that generates actions as a continuous causal sequence while conditioning on refreshable vision-language prefixes. In cont…

cs.RO2024

TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Zhejun Zhang, Christos Sakaridis, Luc Van Gool

In this technical report we present TrafficBots V1.5, a baseline method for the closed-loop simulation of traffic agents. TrafficBots V1.5 achieves baseline-level performance and a…

cs.RO2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

Nick Bührer, Zhejun Zhang, Alexander Liniger +2

An emerging field of sequential decision problems is safe Reinforcement Learning (RL), where the objective is to maximize the reward while obeying safety constraints. Being able to…

cs.RO2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

Zhejun Zhang, Alexander Liniger, Dengxin Dai +2

Data-driven simulation has become a favorable way to train and test autonomous driving algorithms. The idea of replacing the actual environment with a learned simulator has also be…