Jonathan Huang

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 75

Top Venues

CoRR

CVPR

INTERSPEECH

DCASE

Publications

Nikolai Warner, Meera Hahn, Jonathan Huang, Irfan Essa, Vighnesh Birodkar
Text and Click inputs for unambiguous open vocabulary instance segmentation. CoRR (2023)
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR (2023)
Vighnesh Birodkar, Jonathan Huang, Meera Hahn, Irfan Essa, Nikolai Warner
Text and Click inputs for unambiguous open vocabulary instance segmentation. BMVC (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS (2023)
Vasudha Kowtha, Miquel Espi Marques, Jonathan Huang, Yichi Zhang, Carlos Avendaño
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations. ICASSP (2023)
Tran Hien Van, Abhay Goyal, Muhammad Siddique, Lam Yin Cheung, Nimay Parekh, Jonathan Huang, Keri McCrickerd, Edson C. Tandoc Jr., Gerard Chung, Navin Kumar
How is Fatherhood Framed Online in Singapore? CoRR (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR (2023)
Vasudha Kowtha, Miquel Espi Marques, Jonathan Huang, Yichi Zhang, Carlos Avendaño
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations. CoRR (2023)
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar
Partisan US News Media Representations of Syrian Refugees. ICWSM (2023)
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. CoRR (2023)
Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. CVPR (2022)
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashique Khudabukhsh, Preslav Ivanov Nakov, Chris bauch, Orestis Papakyriakopoulos, Kaveh Khoshnood, Navin Kumar
Partisan US News Media Representations of Syrian Refugees. CoRR (2022)
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
PERF-Net: Pose Empowered RGB-Flow Net. WACV (2022)
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
The surprising impact of mask-head architecture on novel class segmentation. CoRR (2021)
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
The surprising impact of mask-head architecture on novel class segmentation. ICCV (2021)
Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid
Local Metrics for Multi-Object Tracking. CoRR (2021)
Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. ICASSP (2020)
Munir Georges, Jonathan Huang, Tobias Bocklet
Compact Speaker Embedding: lrx-Vector. INTERSPEECH (2020)
Héctor A. Cordourier Maruri, Paulo Lopez-Meyer, Jonathan Huang, Willem Marco Beltman, Lama Nachman, Hong Lu
V-Speech: Noise-Robust Speech Capturing Glasses Using Vibration Sensors. GetMobile Mob. Comput. Commun. 24 (2) (2020)
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
RetinaTrack: Online Single Stage Joint Detection and Tracking. CVPR (2020)
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. CVPR (2020)
Jose A. Lopez, Hong Lu, Paulo Lopez-Meyer, Lama Nachman, Georg Stemmer, Jonathan Huang
A Speaker Recognition Approach to Anomaly Detection. DCASE (2020)
Wenda Chen, Jonathan Huang, Mark Hasegawa-Johnson
Utterance-level Intent Recognition from Keywords. CoRR (2020)
Munir Georges, Jonathan Huang, Tobias Bocklet
Compact Speaker Embedding: lrx-vector. CoRR (2020)
Jonathan Huang
Modern Architectures for Core Computer Vision on Videos. IWSSIP (2020)
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
PERF-Net: Pose Empowered RGB-Flow Net. CoRR (2020)
Wenda Chen, Jonathan Huang, Tobias Bocklet
Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition. INTERSPEECH (2020)
Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
Investigating topics, audio representations and attention for multimodal scene-aware dialog. Comput. Speech Lang. 64 (2020)
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
RetinaTrack: Online Single Stage Joint Detection and Tracking. CoRR (2020)
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
Long Term Temporal Context for Per-Camera Object Detection. CoRR (2019)
Héctor A. Cordourier, Paulo Lopez-Meyer, Jonathan Huang, Juan A. del Hoyo Ontiveros, Hong Lu
GCC-PHAT Cross-Correlation Audio Features for Simultaneous Sound Event Localization and Detection (SELD) on Multiple Rooms. DCASE (2019)
Jonathan Huang, Tobias Bocklet
Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019. INTERSPEECH (2019)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops (2019)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV (2019)
Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. CoRR (2019)
Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. CoRR (2019)
Jonathan Huang, Hong Lu, Paulo Lopez-Meyer, Héctor A. Cordourier, Juan A. del Hoyo Ontiveros
Acoustic Scene Classification Using Deep Learning-based Ensemble Averaging. DCASE (2019)
Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen
Structural sparsification for Far-field Speaker Recognition with GNA. CoRR (2019)
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy
Diverse Generation for Multi-Agent Sports Games. CVPR (2019)
Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. ViGIL@NeurIPS (2019)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) (2018)
Tal Remez, Jonathan Huang, Matthew Brown
Learning to Segment via Cut-and-Paste. ECCV (7) (2018)
Tal Remez, Jonathan Huang, Matthew Brown
Learning to Segment via Cut-and-Paste. CoRR (2018)
Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. CoRR (2018)
Saurav Sahay, Shachi H. Kumar, Rui Xia, Jonathan Huang, Lama Nachman
Multimodal Relational Tensor Network for Sentiment and Emotion Classification. CoRR (2018)
Gokcen Cilingir, Jonathan Huang, Mandar S. Joshi, Narayan Biswal
Sufficiency Quantification for Seamless Text-Independent Speaker Enrollment. ICASSP (2018)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. ICLR (Poster) (2018)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR (2018)
Héctor A. Cordourier Maruri, Paulo Lopez-Meyer, Jonathan Huang, Willem Marco Beltman, Lama Nachman, Hong Lu
V-Speech: Noise-Robust Speech Capturing Glasses Using Vibration Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (4) (2018)
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
Progressive Neural Architecture Search. ECCV (1) (2018)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR (2017)
Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR (2017)
Ke-Yu Chen, Rahul C. Shah, Jonathan Huang, Lama Nachman
Mago: Mode of Transport Inference Using the Hall-Effect Magnetic Sensor and Accelerometer. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (2) (2017)
Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao
Introduction to the Issue on Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. 11 (5) (2017)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. CoRR (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR (2017)
Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
Progressive Neural Architecture Search. CoRR (2017)
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
Spatially Adaptive Computation Time for Residual Networks. CVPR (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR (2016)
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
Spatially Adaptive Computation Time for Residual Networks. CoRR (2016)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting Events and Key Actors in Multi-person Videos. CVPR (2016)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CVPR (2016)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CoRR (2015)
Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat
Meeting assistant application. INTERSPEECH (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR (2015)
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas
Learning Program Embeddings to Propagate Feedback on Student Code. ICML (2015)
Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander
Multiple Orderings of Events in Disease Progression. IPMI (2015)
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas
Learning Program Embeddings to Propagate Feedback on Student Code. CoRR (2015)
Chris Piech, Mehran Sahami, Jonathan Huang, Leonidas J. Guibas
Autonomously Generating Hints by Inferring Problem Solving Policies. L@S (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting events and key actors in multi-person videos. CoRR (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL (2015)
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein
Deep Knowledge Tracing. NIPS (2015)
Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein
Deep Knowledge Tracing. CoRR (2015)
Jonathan Huang, Kevin Murphy
Efficient inference in occlusion-aware generative models of images. CoRR (2015)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Riffled Independence for Efficient Inference with Partial Rankings. CoRR (2014)
Hong Lu, Jonathan Huang, Tanwistha Saha, Lama Nachman
Unobtrusive gait verification for mobile phones. ISWC (2014)
Jonathan Huang, Anirban Dasgupta, Arpita Ghosh, Jane Manning, Marc Sanders
Superposter behavior in MOOC forums. L@S (2014)
Andy Nguyen, Christopher Piech, Jonathan Huang, Leonidas J. Guibas
Codewebs: scalable homework search for massive open online programming courses. WWW (2014)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. EDM (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. CoRR (2013)
Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas J. Guibas
Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC. AIED Workshops (2013)
Jonathan Huang, Daniel C. Alexander
Probabilistic Event Cascades for Alzheimer's disease. NIPS (2012)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. 44 (2012)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Efficient Probabilistic Inference with Partial Ranking Queries CoRR (2012)
Xiaoye Jiang, Jonathan Huang, Leonidas J. Guibas
Fourier-Information Duality in the Identity Management Problem. ECML/PKDD (2) (2011)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Efficient Probabilistic Inference with Partial Ranking Queries. UAI (2011)
Henry Bruce, Giuseppe Raffa, Louis LeGrand, Jonathan Huang, Bernie Keany, Rick Edgecombe
An Extensible Sensor based Inferencing Framework for Context Aware Applications. CIT (2010)
Jonathan Huang, Carlos Guestrin
Uncovering the Riffled Independence Structure of Rankings CoRR (2010)
Jonathan Huang, Carlos Guestrin
Learning Hierarchical Riffle Independent Groupings from Rankings. ICML (2010)
Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu
Hilbert space embeddings of conditional distributions with applications to dynamical systems. ICML (2009)
Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas
Exploiting Probabilistic Independence for Permutations. AISTATS (2009)
Jonathan Huang, Carlos Guestrin
Riffled Independence for Ranked Data. NIPS (2009)
Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas
Fourier Theoretic Probabilistic Inference over Permutations. J. Mach. Learn. Res. 10 (2009)
Robert P. Adler, Jonathan Huang, Raymond Kong, Philip Muse, Lama Nachman, Rahul C. Shah, Chieh-Yih Wan, Mark D. Yarvis
Edge Processing and Enterprise Integration: Closing the Gap on Deployable Industrial Sensor Networks. SECON (2007)
Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas
Efficient Inference for Distributions on Permutations. NIPS (2007)
Lama Nachman, Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring. IPSN (2005)
Robert Adler, Mick Flanigan, Jonathan Huang, Ralph Kling, Nandakishore Kushalnagar, Lama Nachman, Chieh-Yih Wan, Mark D. Yarvis
Intel mote 2: an advanced platform for demanding sensor network applications. SenSys (2005)
Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel, Lama Nachman
Intel Mote: using bluetooth in sensor networks. SenSys (2004)
Jonathan Huang, Kuan-Chieh Yen, Yunxin Zhao
Subband-based adaptive decorrelation filtering for co-channel speech separation. IEEE Trans. Speech Audio Process. 8 (4) (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan Huang