Paper-Conference | Yixin Zhu

[NeurIPS23] ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors

Understanding the behavior of non-human primates is crucial for improving animal welfare, modeling social behavior, and gaining …

Xiaoxuan Ma, Stephan Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu, Federico Rossano, Yizhou Wang

[NeurIPS23] ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors

[NeurIPS23] Evaluating and Inducing Personality in Pre-trained Language Models

Standardized and quantified evaluation of machine behaviors is a crux of understanding LLMs. In this study, we draw inspiration from …

Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu

[NeurIPS23] Evaluating and Inducing Personality in Pre-trained Language Models

[NeurIPS23] Interactive Visual Reasoning under Uncertainty

One of the fundamental cognitive abilities of humans is to quickly resolve uncertainty by generating hypotheses and testing them via …

Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu

[NeurIPS23] Interactive Visual Reasoning under Uncertainty

[ICCV23] Full-Body Articulated Human-Object Interaction

Fine-grained capture of 3D Human-Object Interactions (HOIs) enhances human activity comprehension and supports various downstream …

Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang

[ICCV23] X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

Intuitive physics is pivotal for human understanding of the physical world, enabling prediction and interpretation of events even in …

Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu

[ICCV23] X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

[IROS23] Learning a Causal Transition Model for Object Cutting

Cutting objects into desired fragments is challenging for robots due to the spatially unstructured nature of fragments and the complex …

Zeyu Zhang, Muzhi Han, Baoxiong Jia, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

[IROS23] Learning a Causal Transition Model for Object Cutting

[IROS23] Part-level Scene Reconstruction Affords Robot Interaction

Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved …

Zeyu Zhang, Lexing Zhang, Zaijin Wang, Ziyuan Jiao, Muzhi Han, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

[IROS23] Part-level Scene Reconstruction Affords Robot Interaction

[IROS23] Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators

We investigate the sequential manipulation planning problem for unmanned aerial manipulators (UAMs). Unlike prior work that primarily …

Yao Su, Jiarui Li, Ziyuan Jiao, Meng Wang, Chi Chu, Hang Li, Yixin Zhu, Hangxin Liu

[IROS23] Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators

[ACL23Demo] PersLEARN: Research Training through the Lens of Perspective Cultivation

Scientific research is inherently shaped by its authors’ perspectives, influenced by various factors such as their personality, …

Yu-Zhe Shi, Shiqian Li, Xinyi Niu, Qiao Xu, Jiawen Liu, Yifan Xu, Shiyu Gu, Bingru He, Xinyang Li, Xinyu Zhao, Zijian Zhao, Yidong Lyu, Zhen Li, Sijia Liu, Lin Qiu, Jinhao Ji, Lecheng Ruan, Yuxi Ma, Wenjuan Han, Yixin Zhu

[ACL23Demo] PersLEARN: Research Training through the Lens of Perspective Cultivation

[ICML23] MEWL: Few-shot multimodal word learning with referential uncertainty

Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive …

Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu

[ICML23] MEWL: Few-shot multimodal word learning with referential uncertainty