1 citations · 1 across the 5 of their papers we have counts for
6 papers
Context Unrolling in Omni Models
Ceyuan Yang, Zhijie Lin, Yang Zhao +16
We present Omni, a unified multimodal model natively trained on diverse modalities, including text, images, videos, 3D geometry, and hidden representations. We find that such train…
From Instruction to Event: Sound-Triggered Mobile Manipulation
Hao Ju, Shaofei Huang, Hongyu Li +4
Current mobile manipulation research predominantly follows an instruction-driven paradigm, where robots rely on predefined textual commands to execute tasks. However, this setting…
TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigation
Linqing Zhong, Chen Gao, Zihan Ding +5
The Zero-Shot Object Navigation (ZSON) task requires embodied agents to find a previously unseen object by navigating in unfamiliar environments. Such a goal-oriented exploration h…
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding
Hongyu Li, Tianrui Hui, Zihan Ding +5
Panoptic narrative grounding (PNG), whose core target is fine-grained image-text alignment, requires a panoptic segmentation of referred objects given a narrative caption. Previous…
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
Yuan Chen, Zi-han Ding, Ziqin Wang +3
Despite real-time planners exhibiting remarkable performance in autonomous driving, the growing exploration of Large Language Models (LLMs) has opened avenues for enhancing the int…
V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster
Si Liu, Zihan Ding, Jiahui Fu +4
The objective of the collaborative vehicle-to-everything perception task is to enhance the individual vehicle's perception capability through message communication among neighborin…