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Gaowen Liu
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2020 – today
- 2024
- [c35]Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan:
WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting. AAAI 2024: 6180-6188 - [c34]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) 2024: 459-477 - [c33]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CVPR 2024: 15899-15908 - [c32]Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Enhancing Post-Training Quantization Calibration Through Contrastive Learning. CVPR 2024: 15921-15930 - [c31]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe:
Riemannian Multinomial Logistics Regression for SPD Neural Networks. CVPR 2024: 17086-17096 - [c30]Weitai Kang
, Gaowen Liu, Mubarak Shah, Yan Yan:
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding. ECCV (38) 2024: 57-75 - [c29]Kaiwen Cai
Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities. ECCV (28) 2024: 301-318 - [c28]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. EMNLP 2024: 15084-15096 - [c27]Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen:
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP 2024: 6975-6979 - [c26]Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen:
A Method for Bilevel Optimization with Convex Lower-Level Problem. ICASSP 2024: 9426-9430 - [c25]Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang, Wenhao Chai, Cheng-Yen Yang, Hugo Latapie, Gaowen Liu, Bing-Fei Wu, Jenq-Neng Hwang:
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check. IV 2024: 2125-2132 - [c24]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. NAACL (Short Papers) 2024: 246-257 - [c23]Fatih Ilhan
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [i33]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR abs/2402.09642 (2024) - [i32]Kaiwen Cai, Zhekai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities. CoRR abs/2403.04908 (2024) - [i31]Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, Bolei Zhou:
Urban Scene Diffusion through Semantic Occupancy Map. CoRR abs/2403.11697 (2024) - [i30]Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek:
Training-Free Semantic Segmentation via LLM-Supervision. CoRR abs/2404.00701 (2024) - [i29]Sihao Hu, Tiansheng Huang, Fatih Ilhan
A Survey on Large Language Model-Based Game Agents. CoRR abs/2404.02039 (2024) - [i28]Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-Yun Wang, Gaowen Liu, Jenq-Neng Hwang, Hong-Han Shuai, Wen-Huang Cheng:
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection. CoRR abs/2404.04910 (2024) - [i27]Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci:
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning. CoRR abs/2404.05621 (2024) - [i26]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR abs/2404.12274 (2024) - [i25]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CoRR abs/2405.14136 (2024) - [i24]Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng:
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR abs/2405.20252 (2024) - [i23]Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR abs/2406.08607 (2024) - [i22]Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan:
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding. CoRR abs/2407.03200 (2024) - [i21]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR abs/2407.05609 (2024) - [i20]Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu:
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. CoRR abs/2407.05941 (2024) - [i19]Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe:
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR abs/2407.10484 (2024) - [i18]Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang, Wenhao Chai, Cheng-Yen Yang, Hugo Latapie, Gaowen Liu, Bing-Fei Wu, Jenq-Neng Hwang:
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check. CoRR abs/2407.13937 (2024) - [i17]Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan:
UniMuMo: Unified Text, Music and Motion Generation. CoRR abs/2410.04534 (2024) - [i16]Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek:
Prompt Diffusion Robustifies Any-Modality Prompt Learning. CoRR abs/2410.20164 (2024) - 2023
- [c22]Sanjana Vijay Ganesh
Amplifying Object Tracking Performance on Edge Devices. CogMI 2023: 83-92 - [c21]Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella:
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops 2023: 3368-3375 - [c20]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV 2023: 17391-17400 - [c19]Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang:
Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. ICONIP (5) 2023: 83-96 - [c18]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu:
Model Sparsity Can Simplify Machine Unlearning. NeurIPS 2023 - [c17]Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang:
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS 2023 - [c16]Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu:
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. NeurIPS 2023 - [i15]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - [i14]Bin Duan, Keshav Bhandari, Gaowen Liu, Yan Yan:
Optical Flow Estimation in 360° Videos: Dataset, Model and Application. CoRR abs/2301.11880 (2023) - [i13]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma
Model Sparsification Can Simplify Machine Unlearning. CoRR abs/2304.04934 (2023) - [i12]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe:
Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR abs/2305.11288 (2023) - [i11]Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan:
A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models. CoRR abs/2308.07997 (2023) - [i10]Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR abs/2309.02666 (2023) - [i9]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. CoRR abs/2309.13682 (2023) - [i8]Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu:
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. CoRR abs/2310.08782 (2023) - [i7]Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang:
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar. CoRR abs/2311.01423 (2023) - [i6]Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu:
From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models. CoRR abs/2311.02373 (2023) - 2022
- [c15]Gaowen Liu, Hugo Latapie, Özkan Kiliç, Adam Lawrence:
Parallel Generative Adversarial Network for Third-person to First-person Image Generation. CVPR Workshops 2022: 1916-1922 - [c14]Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan:
Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning. CVPR Workshops 2022: 4937-4945 - [c13]Keshav Bhandari
Learning Omnidirectional Flow in 360$^\circ $ Video via Siamese Representation. ECCV (8) 2022: 557-574 - [i5]Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan:
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation. CoRR abs/2208.03620 (2022) - 2021
- [j8]Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson:
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. J. Artif. Intell. Conscious. 8(2): 205-227 (2021) - [c12]Gaowen Liu, Hao Tang, Hugo Latapie, Jason J. Corso
Cross-View Exocentric to Egocentric Video Synthesis. ACM Multimedia 2021: 974-982 - [i4]Hugo Latapie, Özkan Kiliç, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thórisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa:
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. CoRR abs/2102.06112 (2021) - [i3]Gaowen Liu, Hao Tang, Hugo Latapie, Jason J. Corso, Yan Yan:
Cross-View Exocentric to Egocentric Video Synthesis. CoRR abs/2107.03120 (2021) - 2020
- [c11]Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan:
Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network. ICASSP 2020: 1843-1847 - [i2]Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan:
Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network. CoRR abs/2002.03219 (2020)
2010 – 2019
- 2019
- [c10]Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. ACM Multimedia 2019: 2052-2060 - [i1]Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan:
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. CoRR abs/1908.00999 (2019) - 2017
- [b1]Gaowen Liu:
Learning with Shared Information for Image and Video Analysis. University of Trento, Italy, 2017 - [j7]Yan Yan
Graph-based clustering and ranking for diversified image search. Multim. Syst. 23(1): 41-52 (2017) - 2016
- [j6]Yan Yan, Elisa Ricci
A Multi-Task Learning Framework for Head Pose Estimation under Target Motion. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1070-1083 (2016) - [j5]Gaowen Liu, Yan Yan, Ramanathan Subramanian
Active domain adaptation with noisy labels for multimedia analysis. World Wide Web 19(2): 199-215 (2016) - 2015
- [j4]Yan Yan, Yi Yang, Deyu Meng, Gaowen Liu, Wei Tong, Alexander G. Hauptmann, Nicu Sebe
Event Oriented Dictionary Learning for Complex Event Detection. IEEE Trans. Image Process. 24(6): 1867-1878 (2015) - [j3]Yan Yan, Elisa Ricci
Egocentric Daily Activity Recognition via Multitask Clustering. IEEE Trans. Image Process. 24(10): 2984-2995 (2015) - [c9]Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe:
Complex Event Detection via Event Oriented Dictionary Learning. AAAI 2015: 3841-3847 - [c8]Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe:
Inferring Painting Style with Multi-Task Dictionary Learning. IJCAI 2015: 2162-2168 - 2014
- [j2]Yan Yan, Haoquan Shen, Gaowen Liu, Zhigang Ma, Chenqiang Gao, Nicu Sebe
GLocal tells you more: Coupling GLocal structural for feature selection with sparsity for image and video classification. Comput. Vis. Image Underst. 124: 99-109 (2014) - [j1]Yan Yan, Elisa Ricci
Multitask Linear Discriminant Analysis for View Invariant Action Recognition. IEEE Trans. Image Process. 23(12): 5599-5611 (2014) - [c7]Yan Yan, Elisa Ricci
Recognizing Daily Activities from First-Person Videos with Multi-task Clustering. ACCV (4) 2014: 522-537 - [c6]Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe
Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification. ICIP 2014: 2869-2873 - [c5]Yan Yan, Elisa Ricci
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. ICPR 2014: 3493-3498 - [c4]Chenqiang Gao, Deyu Meng, Wei Tong, Yi Yang, Yang Cai, Haoquan Shen, Gaowen Liu, Shicheng Xu, Alexander G. Hauptmann:
Interactive Surveillance Event Detection through Mid-level Discriminative Representation. ICMR 2014: 305 - [c3]Gaowen Liu, Yan Yan, Chenqiang Gao, Wei Tong, Alexander G. Hauptmann, Nicu Sebe
The Mystery of Faces: Investigating Face Contribution for Multimedia Event Detection. ICMR 2014: 467 - 2013
- [c2]Yan Yan, Gaowen Liu, Elisa Ricci
Multi-task linear discriminant analysis for multi-view action recognition. ICIP 2013: 2842-2846 - [c1]Yan Yan, Zhongwen Xu, Gaowen Liu, Zhigang Ma, Nicu Sebe
GLocal structural feature selection with sparsity for multimedia data understanding. ACM Multimedia 2013: 537-540
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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