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ORCIDAlex Hauptmann 0001
Alexander Hauptmann 0001 – Alexander G. Hauptmann
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[c340]Haoyang Wen, Eduard H. Hovy, Alexander Hauptmann:
Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection. ACL (1) 2024: 1467-1480- [c339]Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher:
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. ECCV (29) 2024: 357-375 - [c338]Yijun Qian, Jack Urbanek, Alex Hauptmann, Jungdam Won:
Text Motion Translator: A Bi-directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions. ECCV (63) 2024: 398-414 - [c337]Zhi-Qi Cheng, Yifei Dong, Aike Shi, Wei Liu, Yuzhi Hu, Jason O'Connor, Alexander G. Hauptmann, Kate Whitefoot:
SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions. EMNLP (Industry Track) 2024: 303-333 - [c336]Carla Viegas, Roy A. Maxion, Alexander G. Hauptmann, João Magalhães:
The Seven Faces of Stress: Understanding Facial Activity Patterns During Cognitive Stress. FG 2024: 1-9 - [c335]Salvador Medina, Sarah L. Taylor, Carsten Stoll, Gareth Edwards, Alex Hauptmann, Shinji Watanabe, Iain A. Matthews:
PhISANet: Phonetically Informed Speech Animation Network. ICASSP 2024: 8225-8229 - [c334]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 2024 - [c333]Gabriel Moreira, Manuel Marques
, João Paulo Costeira, Alexander Hauptmann:
VICAN: Very Efficient Calibration Algorithm for Large Camera Networks. ICRA 2024: 18020-18026 - [c332]Zebang Cheng, Shuyuan Tu, Dawei Huang, Minghan Li, Xiaojiang Peng, Zhi-Qi Cheng, Alexander G. Hauptmann:
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition. MRAC@MM 2024: 78-87 - [c331]Yijun Qian, Yujie Lu, Alexander Hauptmann, Oriana Riva:
Visual Grounding for User Interfaces. NAACL (Industry Track) 2024: 97-107 - [c330]Gabriel Moreira, Manuel Marques, João Paulo Costeira, Alexander G. Hauptmann:
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin. WACV 2024: 2071-2079 - [i94]Xiaoyu Zhu, Junwei Liang, Po-Yao Huang, Alex Hauptmann:
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation. CoRR abs/2403.16242 (2024) - [i93]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i92]Xiang Li, Zhi-Qi Cheng, Jun-Yan He, Xiaojiang Peng, Alexander G. Hauptmann:
MM-TTS: A Unified Framework for Multimodal, Prompt-Induced Emotional Text-to-Speech Synthesis. CoRR abs/2404.18398 (2024) - [i91]Gabriel Moreira, Manuel Marques, João Paulo Costeira, Alexander Hauptmann:
VICAN: Very Efficient Calibration Algorithm for Large Camera Networks. CoRR abs/2405.10952 (2024) - [i90]Gabriel Moreira, Alexander Hauptmann, Manuel Marques, João Paulo Costeira:
Learning Visual-Semantic Subspace Representations for Propositional Reasoning. CoRR abs/2405.16213 (2024) - [i89]Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, Alexander Hauptmann:
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning. CoRR abs/2406.11161 (2024) - [i88]Minghan Li, Heng Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann:
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions. CoRR abs/2406.19236 (2024) - [i87]Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Qi He, Wangmeng Xiang, Hanyuan Chen, Jin-Peng Lan, Xianhui Lin, Kang Zhu, Bin Luo, Yifeng Geng, Xuansong Xie, Alexander G. Hauptmann:
MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis. CoRR abs/2406.19859 (2024) - [i86]Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky:
Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR abs/2407.12277 (2024) - [i85]Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher:
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. CoRR abs/2407.13642 (2024) - [i84]Zhi-Qi Cheng, Yifei Dong, Aike Shi, Wei Liu, Yuzhi Hu, Jason O'Connor, Alexander Hauptmann, Kate Whitefoot:
SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions. CoRR abs/2408.05357 (2024) - [i83]Chao Xu, Mingze Sun, Zhi-Qi Cheng, Fei Wang, Yang Liu, Baigui Sun, Ruqi Huang, Alexander Hauptmann:
Combo: Co-speech holistic 3D human motion generation and efficient customizable adaptation in harmony. CoRR abs/2408.09397 (2024) - [i82]Zebang Cheng, Shuyuan Tu, Dawei Huang, Minghan Li, Xiaojiang Peng, Zhi-Qi Cheng, Alexander G. Hauptmann:
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition. CoRR abs/2408.10500 (2024) - [i81]Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You:
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CoRR abs/2410.17193 (2024) - 2023
- [j88]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1-26 (2023) - [j87]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j86]Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3918-3932 (2023) - [j85]Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G. Hauptmann, Jianfeng Gao, Yonatan Bisk:
Training Vision-Language Transformers from Captions. Trans. Mach. Learn. Res. 2023 (2023) - [c329]Haoyang Wen, Alexander G. Hauptmann:
Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation. ACL (2) 2023: 1491-1499 - [c328]Haoyang Wen, Zhenxin Xiao, Eduard H. Hovy, Alexander G. Hauptmann:
Towards Open-Domain Twitter User Profile Inference. ACL (Findings) 2023: 3172-3188 - [c327]Xiaoyu Zhu, Po-Yao Huang, Junwei Liang, Celso M. de Melo, Alexander G. Hauptmann:
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition. CVPR 2023: 1526-1536 - [c326]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CVPR 2023: 10459-10469 - [c325]Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei:
DocumentNet: Bridging the Data Gap in Document Pre-training. EMNLP (Industry Track) 2023: 707-722 - [c324]Yijun Qian, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won:
Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions. ICCV 2023: 2306-2316 - [c323]Zhi-Qi Cheng, Qi Dai, Alexander G. Hauptmann:
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules. ICCV 2023: 22145-22156 - [c322]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [i80]Xiaoyu Zhu, Po-Yao Huang, Junwei Liang, Celso M. de Melo, Alexander G. Hauptmann:
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition. CoRR abs/2303.18177 (2023) - [i79]Zhi-Qi Cheng, Qi Dai, Siyao Li, Jingdong Sun, Teruko Mitamura, Alexander G. Hauptmann:
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules. CoRR abs/2304.02173 (2023) - [i78]Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei:
Document Entity Retrieval with Massive and Noisy Pre-training. CoRR abs/2306.08937 (2023) - [i77]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR abs/2306.17842 (2023) - [i76]Gabriel Moreira, Manuel Marques, João Paulo Costeira, Alexander Hauptmann:
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin. CoRR abs/2309.10013 (2023) - [i75]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR abs/2310.05737 (2023) - 2022
- [j84]En Yu, Jianhua Ma, Jiande Sun, Xiaojun Chang, Huaxiang Zhang, Alexander G. Hauptmann:
Deep Discrete Cross-Modal Hashing with Multiple Supervision. Neurocomputing 486: 215-224 (2022) - [j83]Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander Hauptmann:
Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1793-1804 (2022) - [c321]Zhi-Qi Cheng, Qi Dai, Hong Li, Jingkuan Song, Xiao Wu, Alexander G. Hauptmann:
Rethinking Spatial Invariance of Convolutional Networks for Object Counting. CVPR 2022: 19606-19616 - [c320]Salvador Medina, Denis Tomè, Carsten Stoll, Mark Tiede, Kevin Munhall, Alex Hauptmann, Iain A. Matthews:
Speech Driven Tongue Animation. CVPR 2022: 20374-20384 - [c319]Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann:
Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions. ECCV (4) 2022: 104-120 - [c318]Zhi-Qi Cheng, Qi Dai, Siyao Li, Teruko Mitamura, Alexander Hauptmann:
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement. ACM Multimedia 2022: 3272-3281 - [c317]Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. NAACL-HLT 2022: 956-968 - [c316]Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals. WACV (Workshops) 2022: 112-121 - [c315]Yijun Qian, Guoliang Kang, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann:
TRM: Temporal Relocation Module for Video Recognition. WACV (Workshops) 2022: 151-160 - [i74]Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals. CoRR abs/2201.05290 (2022) - [i73]Liangke Gui, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
Training Vision-Language Transformers from Captions Alone. CoRR abs/2205.09256 (2022) - [i72]Zhi-Qi Cheng, Qi Dai, Hong Li, Jingkuan Song, Xiao Wu, Alexander G. Hauptmann:
Rethinking Spatial Invariance of Convolutional Networks for Object Counting. CoRR abs/2206.05253 (2022) - [i71]Zhi-Qi Cheng, Qi Dai, Siyao Li, Teruko Mitamura, Alexander Hauptmann:
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement. CoRR abs/2208.08965 (2022) - [i70]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CoRR abs/2212.05199 (2022) - 2021
- [c314]Ting-Yao Hu, Alexander G. Hauptmann:
Statistical Distance Metric Learning for Image Set Retrieval. ICASSP 2021: 1765-1769 - [c313]Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang:
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV 2021: 8681-8691 - [c312]Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation With Hidden P-Norm Regression. ICIP 2021: 2423-2427 - [c311]Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi:
Support-set bottlenecks for video-text representation learning. ICLR 2021 - [c310]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. IJCAI 2021: 4500-4507 - [c309]Salvador Medina, Sarah Taylor, Mark Tiede, Alexander G. Hauptmann, Iain A. Matthews:
Importance of Parasagittal Sensor Information in Tongue Motion Capture Through a Diphonic Analysis. Interspeech 2021: 3340-3344 - [c308]Yijun Qian, Lijun Yu, Wenhe Liu, Alexander Hauptmann:
Learning Unbiased Transformer for Long-Tail Sports Action Classification. MediaEval 2021 - [c307]Bei Liu, Jianlong Fu, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Yong Rui:
MMPT'21: International Joint Workshop on Multi-Modal Pre-Training for Multimedia Understanding. ICMR 2021: 694-695 - [c306]Ricardo Gamelas Sousa, Pedro Miguel Ferreira, Pedro Moreira Costa, Pedro Azevedo, João Paulo Costeira, Carlos Santiago, João Magalhães, David Semedo, Rafael Ferreira, Alexander I. Rudnicky, Alexander G. Hauptmann:
iFetch: Multimodal Conversational Agents for the Online Fashion Marketplace. MuCAI @ ACM Multimedia 2021: 25-26 - [c305]João Magalhães, Alexander G. Hauptmann, Ricardo Gamelas Sousa, Carlos Santiago:
MuCAI'21: 2nd ACM Multimedia Workshop on Multimodal Conversational AI. ACM Multimedia 2021: 5702-5703 - [c304]Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. NAACL-HLT 2021: 2443-2459 - [c303]Xiaoyu Zhu, Junwei Liang, Alexander G. Hauptmann:
MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos. WACV 2021: 2022-2031 - [e11]Bei Liu, Jianlong Fu, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Yong Rui:
MMPT@ICMR2021: Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding, Taipei, Taiwan, August 21, 2021. ACM 2021, ISBN 978-1-4503-8530-5 [contents] - [e10]Alexander Hauptmann, João Magalhães, Ricardo Gamelas Sousa, Carlos Santigo:
MuCAI'21: Proceedings of the 2nd ACM Multimedia Workshop on Multimodal Conversational AI, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8679-1 [contents] - [i69]Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation with Hidden p-Norm Regression. CoRR abs/2102.10033 (2021) - [i68]Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander G. Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. CoRR abs/2103.08849 (2021) - [i67]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. CoRR abs/2104.01111 (2021) - [i66]Ting-Yao Hu, Zhi-Qi Cheng, Alexander G. Hauptmann:
Subspace Representation Learning for Few-shot Image Classification. CoRR abs/2105.00379 (2021) - [i65]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. CoRR abs/2105.01605 (2021) - [i64]Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. CoRR abs/2112.08614 (2021) - 2020
- [j82]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j81]Ruonan Liu, Boyuan Yang, Alexander G. Hauptmann:
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. IEEE Trans. Ind. Informatics 16(1): 87-96 (2020) - [j80]Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann:
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Trans. Image Process. 29: 8163-8176 (2020) - [j79]Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann:
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11(2): 21:1-21:15 (2020) - [j78]Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j77]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [j76]Shunli Zhang, Li Zhang, Alexander G. Hauptmann:
Fuzzy Least Squares Support Vector Machine With Adaptive Membership for Object Tracking. IEEE Trans. Multim. 22(8): 1998-2011 (2020) - [c302]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL 2020: 8226-8237 - [c301]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c300]Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann:
ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City. CVPR Workshops 2020: 2511-2519 - [c299]Lijun Yu, Qianyu Feng, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation. CVPR Workshops 2020: 2534-2543 - [c298]Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. CVPR 2020: 10505-10515 - [c297]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction. ECCV (13) 2020: 275-292 - [c296]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c295]Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander G. Hauptmann:
Robust Long-Term Object Tracking via Improved Discriminative Model Prediction. ECCV Workshops (5) 2020: 602-617 - [c294]Zhong Zhou, Isak Czeresnia Etinger, Florian Metze, Alexander Hauptmann, Alexander Waibel:
Gun Source and Muzzle Head Detection. IMAWM 2020: 1-11 - [c293]Salvador Medina Maza, Evangelia Spiliopoulou, Eduard H. Hovy, Alexander G. Hauptmann:
Event-Related Bias Removal for Real-time Disaster Events. EMNLP (Findings) 2020: 3858-3868 - [c292]Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling for Boosting Scale Invariance of Crowd Counting. ICASSP 2020: 2578-2582 - [c291]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann, Eduard H. Hovy:
Forward and Backward Multimodal NMT for Improved Monolingual and Multilingual Cross-Modal Retrieval. ICMR 2020: 53-62 - [c290]Alex Hauptmann, João Magalhães, Ricardo Gamelas Sousa, João Paulo Costeira:
MuCAI'20: 1st International Workshop on Multimodal Conversational AI. ACM Multimedia 2020: 4767-4768 - [c289]Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann:
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. NeurIPS 2020 - [c288]Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
CMU Informedia at TRECVID 2020: Activity Detection with Dense Spatio-temporal Proposals. TRECVID 2020 - [c287]Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann:
Argus: Efficient Activity Detection System for Extended Video Analysis. WACV Workshops 2020: 126-133 - [c286]Yijun Qian, Lijun Yu, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Adaptive Feature Aggregation for Video Object Detection. WACV Workshops 2020: 143-147 - [i63]Zhong Zhou, Isak Czeresnia Etinger, Florian Metze, Alexander G. Hauptmann, Alexander Waibel:
Gun Source and Muzzle Head Detection. CoRR abs/2001.11120 (2020) - [i62]Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Training-free Monocular 3D Event Detection System for Traffic Surveillance. CoRR abs/2002.00137 (2020) - [i61]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i60]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras. CoRR abs/2004.02022 (2020) - [i59]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR abs/2005.03119 (2020) - [i58]Xiaoyu Zhu, Junwei Liang, Alexander G. Hauptmann:
MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos. CoRR abs/2006.16479 (2020) - [i57]