3 citations · 3 across the 7 of their papers we have counts for
9 papers
ObjDream: Guiding Vision-Language-Action Models with Object-Level Understanding and Future State Prediction
Huailiang Ma, Yuxuan Li, Ziyi Zhao +7
Vision-language-action (VLA) models have emerged as a powerful paradigm for robotic manipulation, enabling robots to generate actions from visual observations and language instruct…
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
Physically Ground Commonsense Knowledge for Articulated Object Manipulation with Analytic Concepts
Jiude Wei, Yuxuan Li, Cewu Lu +1
We humans rely on a wide range of commonsense knowledge to interact with an extensive number and categories of objects in the physical world. Likewise, such commonsense knowledge i…
Arti-PG: A Toolbox for Procedurally Synthesizing Large-Scale and Diverse Articulated Objects with Rich Annotations
Jianhua Sun, Yuxuan Li, Jiude Wei +4
The acquisition of substantial volumes of 3D articulated object data is expensive and time-consuming, and consequently the scarcity of 3D articulated object data becomes an obstacl…
Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction
Yunheng Li, Yuxuan Li, Quansheng Zeng +3
Pre-trained vision-language models (VLMs), such as CLIP, have demonstrated impressive zero-shot recognition capability, but still underperform in dense prediction tasks. Self-disti…
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
Jianhua Sun, Yuxuan Li, Longfei Xu +4
We present ConceptFactory, a novel scope to facilitate more efficient annotation of 3D object knowledge by recognizing 3D objects through generalized concepts (i.e. object conceptu…
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu +3
Human cognition can leverage fundamental conceptual knowledge, like geometric and kinematic ones, to appropriately perceive, comprehend and interact with novel objects. Motivated b…
Cryptanalyze and design strong S-Box using 2D chaotic map and apply to irreversible key expansion
Hongjun Liu, Xingyuan Wang
Cryptanalysis result of key expansion algorithms in AES and SM4 revealed that, (1) there exist weaknesses in their S-Boxes, and (2) the round key expansion algorithm is reversible,…
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Jianhua Sun, Yuxuan Li, Hao-Shu Fang +1
Multimodal prediction results are essential for trajectory prediction task as there is no single correct answer for the future. Previous frameworks can be divided into three catego…