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2020 – today
- 2024
[c24]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110- [c23]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CVPR 2024: 13678-13688 - [c22]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024 - [i18]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR abs/2402.03311 (2024) - [i17]Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui:
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction. CoRR abs/2403.19652 (2024) - [i16]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - [i15]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CoRR abs/2406.07544 (2024) - [i14]Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang:
Floating No More: Object-Ground Reconstruction from a Single Image. CoRR abs/2407.18914 (2024) - [i13]Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang:
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. CoRR abs/2409.03757 (2024) - [i12]Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang:
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision. CoRR abs/2410.08209 (2024) - 2023
- [c21]Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui:
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. CVPR 2023: 4456-4465 - [c20]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
BEV-Guided Multi-Modality Fusion for Driving Perception. CVPR 2023: 21960-21969 - [c19]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR 2023: 23839-23848 - [c18]Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui:
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. ICCV 2023: 14882-14894 - [c17]Sirui Xu, Yu-Xiong Wang, Liangyan Gui:
Stochastic Multi-Person 3D Motion Forecasting. ICLR 2023 - [c16]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598 - [c15]Yunze Man, Liangyan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. IROS 2023: 10910-10917 - [c14]Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS 2023 - [i11]Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors. CoRR abs/2302.04860 (2023) - [i10]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR abs/2305.03034 (2023) - [i9]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. CoRR abs/2305.03724 (2023) - [i8]Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Stochastic Multi-Person 3D Motion Forecasting. CoRR abs/2306.05421 (2023) - [i7]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023) - [i6]Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui:
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. CoRR abs/2308.16905 (2023) - [i5]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i4]Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui, Hsin-Ying Lee:
Virtual Pets: Animatable Animal Generation in 3D Scenes. CoRR abs/2312.14154 (2023) - 2022
- [c13]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CVPR Workshops 2022: 2558-2567 - [c12]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CVPR 2022: 2617-2626 - [c11]Sirui Xu
, Yu-Xiong Wang, Liang-Yan Gui:
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. ECCV (22) 2022: 251-269 - [i3]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CoRR abs/2204.07157 (2022) - [i2]Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui:
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. CoRR abs/2212.04493 (2022)
2010 – 2019
- 2019
- [c10]Liang-Yan Gui, David A. Sepiashvili, José M. F. Moura:
Invariance to Affine-Permutation Distortions. CVPR Workshops 2019: 1157-1161 - [c9]Beatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes:
Pose Guided Attention for Multi-Label Fashion Image Classification. ICCV Workshops 2019: 3125-3128 - [i1]Beatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes:
Pose Guided Attention for Multi-label Fashion Image Classification. CoRR abs/1911.05024 (2019) - 2018
- [c8]Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura:
Few-Shot Human Motion Prediction via Meta-learning. ECCV (8) 2018: 441-459 - [c7]Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura:
Adversarial Geometry-Aware Human Motion Prediction. ECCV (4) 2018: 823-842 - [c6]Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c5]Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura:
Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. WACV 2018: 1205-1214 - 2017
- [j1]Liangyan Gui, Xiaoying Tang, José M. F. Moura:
Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's disease. NeuroImage 146: 1016-1024 (2017) - 2015
- [c4]Evgeny Toropov, Liangyan Gui, Shanghang Zhang, Satwik Kottur, José M. F. Moura:
Traffic flow from a low frame rate city camera. ICIP 2015: 3802-3806 - 2014
- [c3]Dajin Wang, Liangyan Gui:
Relay Channel with Causal Channel State Information. VTC Fall 2014: 1-5 - 2012
- [c2]Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang:
Neighborhood Preserving Non-negative Tensor Factorization for image representation. ICASSP 2012: 3389-3392 - [c1]Dajin Wang, Liangyan Gui:
Noisy network coding with causal channel state information. NetCod 2012: 67-72
Coauthor Index
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