Gaowen Liu

According to our database, Gaowen Liu authored at least 64 papers between 2013 and 2024.

Collaborative distances:

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

2024

Prompt Diffusion Robustifies Any-Modality Prompt Learning.

Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek

CoRR, 2024

UniMuMo: Unified Text, Music and Motion Generation.

Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan

CoRR, 2024

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry.

Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

CoRR, 2024

Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge.

Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu

CoRR, 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.

Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang

CoRR, 2024

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.

Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng

CoRR, 2024

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning.

Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci

CoRR, 2024

MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection.

Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-Yun Wang, Gaowen Liu, Jenq-Neng Hwang, Hong-Han Shuai, Wen-Huang Cheng

CoRR, 2024

A Survey on Large Language Model-Based Game Agents.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 2024

Training-Free Semantic Segmentation via LLM-Supervision.

Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek

CoRR, 2024

Urban Scene Diffusion through Semantic Occupancy Map.

Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, Bolei Zhou

CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check.

Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang, Wenhao Chai, Cheng-Yen Yang, Hugo Latapie, Gaowen Liu, Bing-Fei Wu, Jenq-Neng Hwang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Method for Bilevel Optimization with Convex Lower-Level Problem.

Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Variance Reduction Can Improve Trade-Off in Multi-Objective Learning.

Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Open-world Multi-label Text Classification with Extremely Weak Supervision.

Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding.

Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan

Proceedings of the Computer Vision - ECCV 2024, 2024

Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities.

Kaiwen Cai, Zhekai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Post-Training Quantization Calibration Through Contrastive Learning.

Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan

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

Efficient Multitask Dense Predictor via Binarization.

Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

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

Riemannian Multinomial Logistics Regression for SPD Neural Networks.

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe

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

Answer is All You Need: Instruction-following Text Embedding via Answering the Question.

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting.

Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models.

Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu

CoRR, 2023

CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar.

Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang

CoRR, 2023

Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study.

Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 2023

A²Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models.

Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan

CoRR, 2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks.

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe

CoRR, 2023

Model Sparsification Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

CoRR, 2023

Optical Flow Estimation in 360° Videos: Dataset, Model and Application.

Bin Duan, Keshav Bhandari, Gaowen Liu, Yan Yan

CoRR, 2023

EENet: Learning to Early Exit for Adaptive Inference.

Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

CoRR, 2023

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.

Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu

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

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang

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

Model Sparsity Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

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

Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement.

Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Causal-DFQ: Causality Guided Data-free Network Quantization.

Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

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

Network Specialization via Feature-level Knowledge Distillation.

Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Amplifying Object Tracking Performance on Edge Devices.

Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation.

Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan

CoRR, 2022

Learning Omnidirectional Flow in 360$^\circ $ Video via Siamese Representation.

Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning.

Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Parallel Generative Adversarial Network for Third-person to First-person Image Generation.

Gaowen Liu, Hugo Latapie, Özkan Kiliç, Adam Lawrence

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

A Metamodel and Framework for Artificial General Intelligence From Theory to Practice.

Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson

J. Artif. Intell. Conscious., 2021

Cross-View Exocentric to Egocentric Video Synthesis.

Gaowen Liu, Hao Tang, Hugo Latapie, Jason J. Corso, Yan Yan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network.

Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation.

Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2017

Learning with Shared Information for Image and Video Analysis.

Gaowen Liu

PhD thesis, 2017

Graph-based clustering and ranking for diversified image search.

Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, Kai Zheng

Multim. Syst., 2017

2016

Active domain adaptation with noisy labels for multimedia analysis.

Gaowen Liu, Yan Yan, Ramanathan Subramanian, Jingkuan Song, Guoyu Lu, Nicu Sebe

World Wide Web, 2016

A Multi-Task Learning Framework for Head Pose Estimation under Target Motion.

Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Oswald Lanz, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Event Oriented Dictionary Learning for Complex Event Detection.

Yan Yan, Yi Yang, Deyu Meng, Gaowen Liu, Wei Tong, Alexander G. Hauptmann, Nicu Sebe

IEEE Trans. Image Process., 2015

Egocentric Daily Activity Recognition via Multitask Clustering.

Yan Yan, Elisa Ricci, Gaowen Liu, Nicu Sebe

IEEE Trans. Image Process., 2015

Inferring Painting Style with Multi-Task Dictionary Learning.

Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Complex Event Detection via Event Oriented Dictionary Learning.

Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Multitask Linear Discriminant Analysis for View Invariant Action Recognition.

Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Nicu Sebe

IEEE Trans. Image Process., 2014

GLocal tells you more: Coupling GLocal structural for feature selection with sparsity for image and video classification.

Yan Yan, Haoquan Shen, Gaowen Liu, Zhigang Ma, Chenqiang Gao, Nicu Sebe

Comput. Vis. Image Underst., 2014

The Mystery of Faces: Investigating Face Contribution for Multimedia Event Detection.

Gaowen Liu, Yan Yan, Chenqiang Gao, Wei Tong, Alexander G. Hauptmann, Nicu Sebe

Proceedings of the International Conference on Multimedia Retrieval, 2014

Interactive Surveillance Event Detection through Mid-level Discriminative Representation.

Chenqiang Gao, Deyu Meng, Wei Tong, Yi Yang, Yang Cai, Haoquan Shen, Gaowen Liu, Shicheng Xu, Alexander G. Hauptmann

Proceedings of the International Conference on Multimedia Retrieval, 2014

Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition.

Yan Yan, Elisa Ricci, Gaowen Liu, Ramanathan Subramanian, Nicu Sebe

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification.

Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Recognizing Daily Activities from First-Person Videos with Multi-task Clustering.

Yan Yan, Elisa Ricci, Gaowen Liu, Nicu Sebe

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

GLocal structural feature selection with sparsity for multimedia data understanding.

Yan Yan, Zhongwen Xu, Gaowen Liu, Zhigang Ma, Nicu Sebe

Proceedings of the ACM Multimedia Conference, 2013

Multi-task linear discriminant analysis for multi-view action recognition.

Yan Yan, Gaowen Liu, Elisa Ricci, Nicu Sebe

Proceedings of the IEEE International Conference on Image Processing, 2013