Xiang Li

According to our database, Xiang Li authored at least 29 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.

Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum

CoRR, 2024

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Jindong Wang, Zhe Lin, Bhiksha Raj

CoRR, 2024

On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin

CoRR, 2024

ImageFolder: Autoregressive Image Generation with Folded Tokens.

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin

CoRR, 2024

Efficient Autoregressive Audio Modeling via Next-Scale Prediction.

Kai Qiu, Xiang Li, Hao Chen, Jie Sun, Jinglu Wang, Zhe Lin, Marios Savvides, Bhiksha Raj

CoRR, 2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

ControlVAR: Exploring Controllable Visual Autoregressive Modeling.

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj

CoRR, 2024

Slight Corruption in Pre-training Data Makes Better Diffusion Models.

Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, 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, Bhiksha Raj, Huaxiu Yao

CoRR, 2024

Evaluating and Improving Continual Learning in Spoken Language Understanding.

Muqiao Yang, Xiang Li, Umberto Cappellazzo, Shinji Watanabe, Bhiksha Raj

CoRR, 2024

Customizable Perturbation Synthesis for Robust SLAM Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

Completing Visual Objects via Bridging Generation and Segmentation.

Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A General Framework for Learning from Weak Supervision.

Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

Proceedings of the Forty-first International Conference on Machine Learning, 2024

R²-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations.

Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazaki, Hao Chen, Xiaonan Huang, Bhiksha Raj

Proceedings of the Computer Vision - ECCV 2024, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition.

Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Video Instance Segmentation by Instance Flow Assembly.

Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

IEEE Trans. Multim., 2023

Completing Visual Objects via Bridging Generation and Segmentation.

Xiang Li, Yinpeng Chen, Chung-Ching Lin, Rita Singh, Bhiksha Raj, Zicheng Liu

CoRR, 2023

Rethinking Audiovisual Segmentation with Semantic Quantization and Decomposition.

Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj

CoRR, 2023

PaintSeg: Training-free Segmentation via Painting.

Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj

CoRR, 2023

PaintSeg: Painting Pixels for Training-free Segmentation.

Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Rita Singh, Bhiksha Raj

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Voice-Face Correlation: A Geometry View.

Xiang Li, Yandong Wen, Muqiao Yang, Jinglu Wang, Rita Singh, Bhiksha Raj

Proceedings of the 31st ACM International Conference on Multimedia, 2023

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features.

Liao Qu, Xianwei Zou, Xiang Li, Yandong Wen, Rita Singh, Bhiksha Raj

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Robust Referring Video Object Segmentation with Cyclic Structural Consensus.

Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Bhiksha Raj, Yan Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text.

Xiang Li, Jinglu Wang, Xiaohao Xu, Muqiao Yang, Fan Yang, Yizhou Zhao, Rita Singh, Bhiksha Raj

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Online Video Instance Segmentation via Robust Context Fusion.

Xiang Li, Jinglu Wang, Xiaohao Xu, Bhiksha Raj, Yan Lu

CoRR, 2022

R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency.

Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Yan Lu, Bhiksha Raj

CoRR, 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, Bhiksha Raj

CoRR, 2022

Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation.

Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022