Rogério Schmidt Feris

ORCID

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 73

Top Venues

Publications

Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR (2022)
Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24 (4) (2022)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR (2021)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR (2021)
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR (2020)
Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops (2020)
Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko
Learning from Lexical Perturbations for Consistent Visual Question Answering. CoRR (2020)
Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR (2020)
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR (2020)
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das
Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) (2020)
Michele Merler, Khoi-Nguyen C. Mac, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris
Automatic Curation of Sports Highlights Using Multimodal Excitement Features. IEEE Trans. Multim. 21 (5) (2019)
Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. CoRR (2019)
Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR (2019)
Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. CoRR (2019)
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR (2019)
Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass
Grounding Spoken Words in Unlabeled Video. CVPR Workshops (2019)
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR (2019)
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR (2019)
Michele Merler, Nalini K. Ratha, Rogério Schmidt Feris, John R. Smith
Diversity in Faces. CoRR (2019)
Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
Baby steps towards few-shot learning with multiple semantics. CoRR (2019)
Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. ICCV (2019)
Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops (2019)
Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) (2019)
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR (2019)
Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR (2019)
Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR (2019)
Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR (2019)
Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman
Learning to Separate Object Sounds by Watching Unlabeled Video. CoRR (2018)
Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. CoRR (2018)
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris
Dialog-based Interactive Image Retrieval. CoRR (2018)
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR (2018)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment. CoRR (2018)
Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. CoRR (2018)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR (2018)
Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman
Learning to Separate Object Sounds by Watching Unlabeled Video. ECCV (3) (2018)
Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman
Learning to Separate Object Sounds by Watching Unlabeled Video. CVPR Workshops (2018)
Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. ECCV (15) (2018)
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR (2018)
Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR (2018)
Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CVPR (2018)
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris
BlockDrop: Dynamic Inference Paths in Residual Networks. CVPR (2018)
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS (2018)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS (2018)
Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. CoRR (2018)
Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris
The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. CVPR Workshops (2018)
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR (2018)
Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith
Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting. CoRR (2018)
Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith
Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting. EMBC (2018)
Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID (2018)
Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. CoRR (2018)
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris
Dialog-based Interactive Image Retrieval. NeurIPS (2018)
Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. MLCN/DLF/iMIMIC@MICCAI (2018)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment. Int. J. Comput. Vis. 126 (10) (2018)
Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CoRR (2018)
Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
Automatic Curation of Golf Highlights using Multimodal Excitement Features. CoRR (2017)
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR (2017)
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR (2017)
Dhiraj Joshi, Michele Merler, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
IBM High-Five: Highlights From Intelligent Video Engine. ACM Multimedia (2017)
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris
BlockDrop: Dynamic Inference Paths in Residual Networks. CoRR (2017)
Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR (2017)
Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
Automatic Curation of Golf Highlights Using Multimodal Excitement Features. CVPR Workshops (2017)
Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. CoRR (2016)
Jing Wang, Yu Cheng, Rogério Schmidt Feris
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CoRR (2016)
Jun Xie, Rogério Schmidt Feris, Ming-Ting Sun
Edge-Guided Single Depth Image Super Resolution. IEEE Trans. Image Process. 25 (1) (2016)
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR (2016)
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CoRR (2016)
Jing Wang, Yu Cheng, Rogério Schmidt Feris
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CVPR (2016)
Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR (2016)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. CoRR (2016)
Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. ECCV (4) (2016)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. ECCV (1) (2016)
Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network. CoRR (2015)
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. ICCV (2015)
Qiang Chen, Junshi Huang, Rogério Schmidt Feris, Lisa M. Brown, Jian Dong, Shuicheng Yan
Deep domain adaptation for describing people based on fine-grained clothing attributes. CVPR (2015)
John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV (2015)
Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network. ICCV (2015)
Rogério Schmidt Feris, Russell Bobbitt, Sharath Pankanti, Ming-Ting Sun
Efficient 24/7 object detection in surveillance videos. AVSS (2015)
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
Fast Neural Networks with Circulant Projections. CoRR (2015)
Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun
Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera. J. Vis. Commun. Image Represent. 32 (2015)
Jun Xie, Rogério Schmidt Feris, Shiaw-Shian Yu, Ming-Ting Sun
Joint Super Resolution and Denoising From a Single Depth Image. IEEE Trans. Multim. 17 (9) (2015)
Rogério Schmidt Feris, Lisa M. Brown, Sharath Pankanti, Ming-Ting Sun
Appearance-Based Object Detection Under Varying Environmental Conditions. ICPR (2014)
Lisa M. Brown, Rogério Schmidt Feris, Sharathchandra Pankanti
Temporal Non-maximum Suppression for Pedestrian Detection Using Self-Calibration. ICPR (2014)
Jun Xie, Cheng-Chuan Chou, Rogério Schmidt Feris, Ming-Ting Sun
Single depth image super resolution and denoising via coupled dictionary learning with local constraints and shock filtering. ICME (2014)
Andréa Britto Mattos, Ricardo Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris
A mission-oriented citizen science platform for efficient flower classification based on combination of feature descriptors. EMR@ICMR (2014)
Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao
A spatial-color layout feature for representing galaxy images. WACV (2014)
Andrea Britto Mottos, Rogério Schmidt Feris
Fusing well-crafted feature descriptors for efficient fine-grained classification. ICIP (2014)
Andréa Britto Mattos, Ricardo Guimarães Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris
Flower Classification for a Citizen Science Mobile App. ICMR (2014)
Rogério Schmidt Feris, Russell Bobbitt, Lisa M. Brown, Sharath Pankanti
Attribute-based People Search: Lessons Learnt from a Practical Surveillance System. ICMR (2014)
Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti
IBM-Northwestern@TRECVID 2014: Surveillance Event Detection. TRECVID (2014)
Yu Cheng, Lisa M. Brown, Qibin Fan, Rogério Schmidt Feris, Sharath Pankanti, Tao Zhang
RiskWheel: Interactive visual analytics for surveillance event detection. ICME (2014)
Jun Xie, Rogério Schmidt Feris, Ming-Ting Sun
Edge guided single depth image super resolution. ICIP (2014)
Jorge de Jesus Gomes Leandro, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris
Shape Analysis Using the Spectral Graph Wavelet Transform. e-Science (2013)
Qiang Chen, Zheng Song, Rogério Schmidt Feris, Ankur Datta, Liangliang Cao, ZhongYang Huang, Shuicheng Yan
Efficient Maximum Appearance Search for Large-Scale Object Detection. CVPR (2013)
Qiang Chen, Yang Cai, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti
Spatio-temporal fisher vector coding for surveillance event detection. ACM Multimedia (2013)
Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun
Fine registration of 3D point clouds with iterative closest point using an RGB-D camera. ISCAS (2013)
Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang
Designing Category-Level Attributes for Discriminative Visual Recognition. CVPR (2013)
Xiaoyu Wang, Liangliang Cao, Rogério Schmidt Feris, Ankur Datta, Tony X. Han
Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection. CVPR Workshops (2013)
Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rogério Schmidt Feris