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Local Metrics for Multi-Object Tracking


Apr 06, 2021
Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid


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The surprising impact of mask-head architecture on novel class segmentation


Apr 01, 2021
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang


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PERF-Net: Pose Empowered RGB-Flow Net


Sep 28, 2020
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang

* 9 pages, 4 figures, 6 tables 

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Compact Speaker Embedding: lrx-vector


Aug 11, 2020
Munir Georges, Jonathan Huang, Tobias Bocklet

* Proc. Interspeech 2020 
* Accepted to INTERSPEECH 2020 

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RetinaTrack: Online Single Stage Joint Detection and Tracking


Mar 30, 2020
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang

* Accepted to CVPR 2020 

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Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog


Dec 20, 2019
Shachi H Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman

* Presented at the Visual Question Answering and Dialog Workshop, CVPR 2019, Long Beach, USA 

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Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog


Dec 20, 2019
Shachi H Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman

* Presented at the 3rd Visually Grounded Interaction and Language (ViGIL) Workshop, NeurIPS 2019, Vancouver, Canada. arXiv admin note: substantial text overlap with arXiv:1812.08407 

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Long Term Temporal Context for Per-Camera Object Detection


Dec 07, 2019
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang


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Structural sparsification for Far-field Speaker Recognition with GNA


Oct 25, 2019
Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen

* submitted to icassp2020 

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Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog


Dec 20, 2018
Shachi H Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman

* 7 pages, 2 figures, DSTC7 workshop at AAAI 2019 

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Uncertainty aware multimodal activity recognition with Bayesian inference


Nov 27, 2018
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer, Omesh Tickoo, Jonathan Huang


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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification


Jul 27, 2018
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

* ECCV 2018 camera ready 

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Progressive Neural Architecture Search


Jul 26, 2018
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

* To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet.pytorch for exact conversion to PyTorch 

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Multimodal Relational Tensor Network for Sentiment and Emotion Classification


Jun 07, 2018
Saurav Sahay, Shachi H Kumar, Rui Xia, Jonathan Huang, Lama Nachman


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Learning to Segment via Cut-and-Paste


Mar 16, 2018
Tal Remez, Jonathan Huang, Matthew Brown


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Generative Models of Visually Grounded Imagination


Feb 25, 2018
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

* International Conference on Learning Representations (ICLR), 2018 

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Spatially Adaptive Computation Time for Residual Networks


Jul 02, 2017
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, Ruslan Salakhutdinov

* CVPR 2017 

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Motion Prediction Under Multimodality with Conditional Stochastic Networks


May 05, 2017
Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar


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Speed/accuracy trade-offs for modern convolutional object detectors


Apr 25, 2017
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

* Accepted to CVPR 2017 

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Generation and Comprehension of Unambiguous Object Descriptions


Apr 11, 2016
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, Kevin Murphy

* We have released the Google Refexp dataset together with a toolbox for visualization and evaluation, see https://github.com/mjhucla/Google_Refexp_toolbox. Camera ready version for CVPR 2016 

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Detecting events and key actors in multi-person videos


Mar 17, 2016
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

* Accepted for publication in CVPR'16 

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Efficient inference in occlusion-aware generative models of images


Feb 16, 2016
Jonathan Huang, Kevin Murphy

* 10 pages 

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Deep Knowledge Tracing


Jun 19, 2015
Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, Jascha Sohl-Dickstein


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Learning Program Embeddings to Propagate Feedback on Student Code


May 22, 2015
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas Guibas

* Accepted to International Conference on Machine Learning (ICML 2015) 

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What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision


Mar 13, 2015
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy

* To appear in NAACL 2015 

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Riffled Independence for Efficient Inference with Partial Rankings


Jan 23, 2014
Jonathan Huang, Ashish Kapoor, Carlos Guestrin

* Journal Of Artificial Intelligence Research, Volume 44, pages 491-532, 2012 
* arXiv admin note: text overlap with arXiv:1202.3734 

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Tuned Models of Peer Assessment in MOOCs


Jul 09, 2013
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, Daphne Koller

* Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013) 

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Efficient Probabilistic Inference with Partial Ranking Queries


Feb 14, 2012
Jonathan Huang, Ashish Kapoor, Carlos E. Guestrin


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Uncovering the Riffled Independence Structure of Rankings


Jun 07, 2010
Jonathan Huang, Carlos Guestrin

* 65 pages 

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