Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation. - Xiang Li 106; Jinglu Wang; Xiao Li 030; Yan Lu 001 (AAAI, 2022)

Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution. - Chonghan Chen; Qi Jiang; Chih-Hao Wang; Noel Chen; Haohan Wang; Xiang Li 106; Bhiksha Raj (CoRR, 2022)

R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Xiao Li 030; Yan Lu 001; Bhiksha Raj (CoRR, 2022)

Online Video Instance Segmentation via Robust Context Fusion. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Bhiksha Raj; Yan Lu 001 (CoRR, 2022)

Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Muqiao Yang; Fan Yang 080; Yizhou Zhao; Rita Singh; Bhiksha Raj (EMNLP, 2023)

Robust Referring Video Object Segmentation with Cyclic Structural Consensus. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Xiao Li 030; Bhiksha Raj; Yan Lu 001 (ICCV, 2023)

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features. - Liao Qu; Xianwei Zou; Xiang Li 106; Yandong Wen; Rita Singh; Bhiksha Raj (INTERSPEECH, 2023)

Rethinking Voice-Face Correlation: A Geometry View. - Xiang Li 106; Yandong Wen; Muqiao Yang; Jinglu Wang; Rita Singh; Bhiksha Raj (ACM Multimedia, 2023)

PaintSeg: Painting Pixels for Training-free Segmentation. - Xiang Li 106; Chung-Ching Lin; Yinpeng Chen; Zicheng Liu 001; Jinglu Wang; Rita Singh; Bhiksha Raj (NeurIPS, 2023)

PaintSeg: Training-free Segmentation via Painting. - Xiang Li 106; Chung-Ching Lin; Yinpeng Chen; Zicheng Liu 001; Jinglu Wang; Bhiksha Raj (CoRR, 2023)

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. - Liangyu Zha; Junlin Zhou; Liyao Li; Rui Wang 076; Qingyi Huang; Saisai Yang; Jing Yuan; Changbao Su; Xiang Li 106; Aofeng Su; Tao Zhang; Chen Zhou 001; et al. (CoRR, 2023)

Rethinking Audiovisual Segmentation with Semantic Quantization and Decomposition. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Xiulian Peng; Rita Singh; Yan Lu 001; Bhiksha Raj (CoRR, 2023)

Completing Visual Objects via Bridging Generation and Segmentation. - Xiang Li 106; Yinpeng Chen; Chung-Ching Lin; Rita Singh; Bhiksha Raj; Zicheng Liu 001 (CoRR, 2023)

Video Instance Segmentation by Instance Flow Assembly. - Xiang Li 106; Jinglu Wang; Xiao Li 030; Yan Lu 001 (IEEE Trans. Multim., 2023)

QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition. - Xiang Li 106; Jinglu Wang; Xiaohao Xu; Xiulian Peng; Rita Singh; Yan Lu 001; Bhiksha Raj (CVPR, 2024)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang; Xiang Li 106; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CVPR Workshops, 2024)

R2-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations. - Xiang Li 106; Kai Qiu; Jinglu Wang; Xiaohao Xu; Rita Singh; Kashu Yamazaki; Hao Chen 102; Xiaonan Huang; Bhiksha Raj (ECCV (9), 2024)

A General Framework for Learning from Weak Supervision. - Hao Chen 102; Jindong Wang 001; Lei Feng 006; Xiang Li 106; Yidong Wang; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (ICML, 2024)

Completing Visual Objects via Bridging Generation and Segmentation. - Xiang Li 106; Yinpeng Chen; Chung-Ching Lin; Hao Chen 102; Kai Hu 010; Rita Singh; Bhiksha Raj; Lijuan Wang; Zicheng Liu 001 (ICML, 2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xiang Li 106; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (NeurIPS, 2024)

Slight Corruption in Pre-training Data Makes Better Diffusion Models. - Hao Chen 102; Yujin Han; Diganta Misra; Xiang Li 106; Kai Hu 010; Difan Zou; Masashi Sugiyama; Jindong Wang 001; Bhiksha Raj (NeurIPS, 2024)

Customizable Perturbation Synthesis for Robust SLAM Benchmarking. - Xiaohao Xu; Tianyi Zhang 014; Sibo Wang; Xiang Li 106; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2024)

Evaluating and Improving Continual Learning in Spoken Language Understanding. - Muqiao Yang; Xiang Li 106; Umberto Cappellazzo; Shinji Watanabe 001; Bhiksha Raj (CoRR, 2024)

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition. - Zhaorun Chen; Zhuokai Zhao; Zhihong Zhu; Ruiqi Zhang; Xiang Li 106; Bhiksha Raj; Huaxiu Yao (CoRR, 2024)

ControlVAR: Exploring Controllable Visual Autoregressive Modeling. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Zhe Lin; Rita Singh; Bhiksha Raj (CoRR, 2024)

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking. - Xiaohao Xu; Tianyi Zhang 014; Sibo Wang; Xiang Li 106; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2024)

Efficient Autoregressive Audio Modeling via Next-Scale Prediction. - Kai Qiu; Xiang Li 106; Hao Chen 102; Jie Sun; Jinglu Wang; Zhe Lin; Marios Savvides; Bhiksha Raj (CoRR, 2024)

On the Diversity of Synthetic Data and its Impact on Training Large Language Models. - Hao Chen 102; Abdul Waheed; Xiang Li 106; Yidong Wang; Jindong Wang 001; Bhiksha Raj; Marah I Abdin (CoRR, 2024)

TableGPT2: A Large Multimodal Model with Tabular Data Integration. - Aofeng Su; Aowen Wang; Chao Ye; Chen Zhou 001; Ga Zhang; Gang Chen 001; Guangcheng Zhu; Haobo Wang 001; Haokai Xu; Hao Chen 102; Haoze Li; Haoxuan Lan; et al. (CoRR, 2024)

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Jindong Wang 001; Zhe Lin; Bhiksha Raj (CoRR, 2024)

A closer look at reinforcement learning-based automatic speech recognition. - Fan Yang 080; Muqiao Yang; Xiang Li 106; Yuxuan Wu; Zhiyuan Zhao 002; Bhiksha Raj; Rita Singh (Comput. Speech Lang., 2024)

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. - Hao Chen 102; Ze Wang 008; Xiang Li 106; Ximeng Sun; Fangyi Chen; Jiang Liu 014; Jindong Wang 001; Bhiksha Raj; Zicheng Liu 001; Emad Barsoum (CVPR, 2025)

ImageFolder: Autoregressive Image Generation with Folded Tokens. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Bhiksha Raj; Zhe Lin (ICLR, 2025)

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video. - Xiaohao Xu; Tianyi Zhang 014; Shibo Zhao; Xiang Li 106; Sibo Wang; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Sebastian Scherer; Xiaonan Huang (ICLR, 2025)

Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity. - Xiaohao Xu; Feng Xue; Xiang Li 106; Haowei Li; Shusheng Yang; Tianyi Zhang 014; Matthew Johnson-Roberson; Xiaonan Huang (CoRR, 2025)

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis. - Kai Qiu; Xiang Li 106; Jason Kuen; Hao Chen 102; Xiaohao Xu; Jiuxiang Gu; Yinyi Luo; Bhiksha Raj; Zhe Lin; Marios Savvides (CoRR, 2025)

CAARMA: Class Augmentation with Adversarial Mixup Regularization. - Massa Baali; Xiang Li 106; Hao Chen 102; Rita Singh; Bhiksha Raj (CoRR, 2025)