top of page
RogerioPhoto2_edited.jpg
Rogerio Schmidt Feris

Principal Scientist and Manager

MIT-IBM Watson AI Lab

IBM Research

email: rsferis-at-us.ibm.com

I am a principal scientist and manager at the MIT-IBM Watson AI lab. I am generally interested in teaching machines to see, listen, and read, with little or no supervision, like humans do. In particular,  my research work has been centered on data efficiency (learning more from less), model efficiency, and multimodal perception methods that combine vision, sound/speech, and language. 

 

I am passionate about doing fundamental research as well as developing systems that make a real-world impact. My work has not only been published in top AI conferences, but has also been integrated into multiple products, and covered by media outlets such as the New York Times, ABC News, and CBS 60 minutes. See my bio for more information about me.

News:

Emmy2.jpg

Our work on AI/ML for auto-curation of sports highlights has been selected for a 2022 Technology and Engineering Emmy award!  Our system has been used to automatically produce the official highlights of the USOpen, Wimbledon, and Masters tournaments. 

Area Chair: ICCV 2023, ICLR 2023, CVPR 2023, NeurIPS 2022, ICLR 2022, NeurIPS 2021, CVPR 2021, ICML 2021, ICLR 2021, NeurIPS 2020, ECCV 2020, CVPR 2020, NeurIPS 2019, NeurIPS 2018, ACM MM 2017, CVPR 2017, CVPR 2016, CVPR 2015, ISVC 2015, ICCV 2015 

Associate Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence (2018-2023)

See more Professional Activities

Principal Investigator: 

- DARPA Learning with Less Labels (2019-2023)

- IARPA Deep Intermodal Video Analytics (2017-2021)

Google Scholar Citations

Research

Selected Publications (see full list by date or by topic)

Lego.jpg

Learning to Grow Pretrained Models for Efficient Transformer Training

 

Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim

ICLR 2023 (notable-top-25%)

 

[Paper]​​ [Project Page] [Code]

MPT2.png

Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning

 

Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim

ICLR 2023

 

[Paper]​​ [Project Page] [Code]

SelectLabelMix.jpg

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

 

Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

WACV 2023 (Best Paper Award Honorable Mention)

 

[Paper]​​ [Project Page] [Code]

shaders.jpg

Procedural Image Programs for Representation Learning

 

Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

NeurIPS 2022

 

[Paper]​​ [Project Page] [Code]

Synapt.jpg

How Transferable are Video Representations Based on Synthetic Data?

 

Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris

NeurIPS 2022

 

[Paper]​​ [Dataset]

feta.jpg

FETA: Towards Specializing Foundation Models for Expert Task Applications

 

Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky

NeurIPS 2022

 

[Paper]​​ [Code]

task2sim.jpg

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data


Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio Feris

 

CVPR 2022

 

[Paper]​​ [Project Page] [Code]

Brad.jpg

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio Feris, Leonid Karlinsky

 

CVPR 2022, Oral

 

[Paper]​​ [Demo] [Code]

SimVQA.jpg

SimVQA: Exploring Simulated Environments for Visual Question Answering


Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogerio Feris, Vicente Ordonez

 

CVPR 2022

 

[Paper]​​ [Project Page] [Code]

valhalla.jpg

VALHALLA: Visual Hallucination for Machine Translation

Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio Feris, David Cox, Nuno Vasconcelos

CVPR 2022

 

[Paper]​​ [Project Page] [Code]

everything.jpg

Everything at Once – Multi-modal Fusion Transformer for Video Retrieval

N. Shvetsova,  B. Chen,  A. Rouditchenko,  S.Thomas,  B. Kingsbury,  R. Feris,  D. Harwath,  J. Glass,  and H. Kuehne

CVPR 2022

 

[Paper

LongTail.jpg

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogerio Feris, Piotr Indyk, Dina Katabi

 

CVPR 2022

 

[Paper]​​ [Code]

iared2.jpg

IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers

 

Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva

NeurIPS 2021

 

[Paper] [Project Page] [Code]

DynDist.jpg

Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data

 

Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke

NeurIPS 2021

 

[Paper] [Code]

VideoIQ.jpg

Dynamic Network Quantization for Efficient Video Inference

 

Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

ICCV 2021

 

[Paper] [Project Page] [Code]

AdaMML.jpg

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

 

Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogerio Feris

ICCV 2021

 

[Paper]​​ [Project Page] [Code]

transferability.jpg

A Broad Study on the Transferability of Visual Representations with Contrastive Learning

Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris

 

ICCV 2021

 

[Paper] [Code]

grounding.jpg

Detector-Free Weakly Supervised Grounding by Separation

Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

 

ICCV 2021, Oral

 

[Paper

MultimodalClustering.jpg

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos

Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang

ICCV 2021

[Paper]

avlnet.jpg

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Andrew Rouditchenko, Angie Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogerio Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James Glass

Interspeech 2021

 

[Paper] [Project Page] [Video Demo] [Code]

Cascaded.jpg

Cascaded Multilingual Audio-Visual Learning from Videos

Andrew Rouditchenko, Angie Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogerio Feris, Brian Kingsbury, Michael Picheny, James Glass

Interspeech 2021

[Paper] [Project Page] [Code]

ancor.jpg

Fine-grained Angular Contrastive Learning with Coarse Labels

 

Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky

CVPR 2021, Oral

 

[Paper]​​ 

Picture1.jpg

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogerio Feris

CVPR 2021

 

[Paper] [Data]

skills.jpg

Separating Skills and Concepts for Novel Visual Question Answering

Spencer Whitehead, Hui Wu, Heng Ji, Rogerio Feris, Kate Saenko

CVPR 2021

 

[Paper

smit.jpg

Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions

Mathew Monfort, SouYoung Jin, Alexander Liu, David Harwath, Rogerio Feris, James Glass, Aude Oliva

CVPR 2021

 

[Project Page] [Paper] [Data]

tcl.jpg

Semi-Supervised Action Recognition with Temporal Contrastive Learning

Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

CVPR 2021

 

[Paper

AnalysisAction.jpg

Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

CVPR 2021

 

[Paper] [Code]

adafuse.jpg

AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition

 

Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris

ICLR 2021

 

[Paper]​​ [Project Page] [Code]

vared2.jpg

VA-RED^2: Video Adaptive Redundancy Reduction

 

Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris

ICLR 2021

 

[Paper]​​ [Project Page] [Code]

Starnet.jpg

StarNet: towards Weakly Supervised Few-Shot Object Detection

 

Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alexander Bronstein, Raja Giryes

AAAI 2021

 

[Paper]​​ [Code]

NASTransfer.jpg

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

 

Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee

AAAI 2021

 

[Paper]​​ 

adashare.jpg

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning 

 

Ximeng Sun, Rameswar Panda, Kate Saenko, Rogerio Feris

NeurIPS 2020

[Paper]​​ [Project Page] [Code]

cdfsl.jpg

A Broader Study of Cross-Domain Few-Shot Learning

 

Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris

ECCV 2020

 

See also: CVPR VL3 Workshop and the challenge associated with our benchmark

[Paper]​​ [Code and Data]

arnet.jpg

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

 

Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris

 

ECCV 2020

 

[Paper]​​ [Project Page] [Code] [MIT News]

onlineaugment.jpg

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

ECCV 2020

 

[Paper] [Code]

tafssl.jpg

TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-shot Classification

 

Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky

ECCV 2020

 

[Paper]​​ [Code]

abstraction.jpg

We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos

Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva

ECCV 2020

 

[Paper] [Code] [Project Page] [MIT News]

tracking.jpg

Video Instance Segmentation Tracking

Chung-Ching Lin, Ying Hung, Rogerio Feris, Linglin He

CVPR 2020

 

[Paper

stuff.jpg

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

 

Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

CVPR 2020

 

[Paper] [Code]

lexical.jpg

Learning from Lexical Perturbations for Consistent Visual Question Answering

Spencer Whitehead, Hui Wu, Yi Fung, Heng. Ji, Rogerio Feris, Kate Saenko

Arxiv 2020

 

[Paper

motion.jpg

Learning Motion in Feature Space: Locally- Consistent Deformable Convolution Networks for Fine Grained Action Detection

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris, Minh N. Do

ICCV 2019, Oral

 

[Paper] [Code] [Project Page]

laso.jpg

LaSO: Label-Set Operations Networks for Multi-label Few-shot Learning

Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein

CVPR 2019, Oral

 

[Paper] [Code]

spottune.jpg

SpotTune: Transfer Learning through Adaptive Fine-tuning

Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogerio Feris

CVPR 2019

Top results on the Visual Decathlon challenge (2019)

[Paper] [Code]

repmet5.jpg

RepMet: Representative-based Metric Learning for Classification and One-shot Object Detection

Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein

CVPR 2019

[Paper] [Code]

biglittle.jpg

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition

Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogerio Feris

ICLR 2019

 

[Paper] [Code]

usopen2.jpg

Automatic Curation of Sports Highlights using Multimodal Excitement Features

Michele Merler, Khoi Nguyen C. Mac, Dhiraj Joshi, Quoc Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogerio Feris

IEEE Transactions on MultiMedia (TMM) 2019

Our system was used to produce the official highlights of the USOpen, Wimbledon, and Masters tournaments (and watched by millions of fans worldwide)

 

[Paper] [Blog]  [Video Demo 1] [Video Demo 2] [New York Times] [Fortune] [Newsweek] [Engadget] [NBC News] [Behind the Code

AIHighlighs
masters.jpg

The Excitement of Sports: Automatic Highlights using Audio-Visual Cues

Michele Merler, D. Joshi, Khoi-Nguyen C. Mac, Q. Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh Do, John Smith, Rogerio Feris

CVPR Workshop on Sight and Sound, 2018

 

[Paper] [Slides] [Video Demo 1] [Video Demo 2] [Blog] [Venturebeat] [ZDNet]

deltaencoder.jpg

Delta-Encoder: an Effective Sample Synthesis Method for Few-shot Object Recognition

Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogerio Feris, Abhishek Kumar, Raja Giryes, Alex M. Bronstein

NeurIPS 2018, Spotlight

 

[Paper] [Code]

dialog.jpg

Dialog-based Interactive Image Retrieval 

Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogerio Feris

NeurIPS 2018 

 

[Paper] [Code] [Video Demo]

coregularized.jpg

Co-regularized Alignment for Unsupervised Domain Adaptation

Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, William T. Freeman, Gregory Wornell

NeurIPS 2018

 

[Paper

separation.jpg

Learning to Separate Object Sounds by Watching Unlabeled Video

Ruohan Gao, Rogerio Feris, Kristen Grauman

ECCV 2018, Oral

 

[Paper] [Project Page] [Code]

revisiting.jpg

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong, Thomas Huang

ECCV 2018

DCR achieved state-of-the-art results on Pascal VOC and MS-COCO

 

[Paper] [Code]

blockdrop.jpg

BlockDrop: Dynamic Inference Paths in Residual Networks

 

Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris

CVPR 2018, Spotlight

 

[Paper]​​ [Code]

jointaugment.jpg

Jointly optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Xi Peng, Zhiqiang Tang, Fei Yang, Rogerio Feris, Dimitris Metaxas

CVPR 2018

 

[Paper] [Code]

fully.jpg

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris

CVPR 2017, Spotlight

 

[Paper

s3pool.jpg

S3Pool: Pooling with Stochastic Spatial Sampling

 

Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogerio Feris

CVPR 2017

 

[Paper] [Code]

mscnn.jpg

A Unified Multi Scale Deep Convolutional Neural Network for Fast Object Detection

Zhaowei Cai, Quanfu Fan, Rogerio S. Feris, Nuno Vasconcelos

ECCV 2016

 

MS-CNN achieved state-of-the-art results on the popular KITTI dataset

[Paper] [Code] [Demo] [KITTI results] [Project Page]

rednet.jpg

A Recurrent Encoder-Decoder Network for Sequential Face Alignment

Xi Peng, Rogerio S. Feris, Xiaoyu Wang, Dimitris N. Metaxas

ECCV 2016

[Paper] [Code] [Project Page] [Video Demo]

walk.jpg

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data

Jing Wang, Yu Cheng, Rogerio Feris 

CVPR 2016, Oral

 

[Paper

book.jpg

Visual Attributes

Rogerio Feris, Christoph Lampert, Devi Parikh

Advances in Computer Vision and Pattern Recognition, Springer, 2016

[Book Link]

circulant.jpg

An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

Yu Cheng, Felix X. Yu, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang

ICCV 2015

 

[Paper

darn.jpg

Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network

Junshi Huang, Rogerio S. Feris, Qiang Chen, Shuicheng Yan

ICCV 2015

 

[Paper] [Data

deepdomain.jpg

Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes

Qiang Chen, Junshi Huang, Rogerio Feris, Lisa M Brown, Jian Dong, Shuicheng Yan

CVPR 2015

 

[Paper

suspect.jpg

Attribute-based People Search

Rogerio Feris, Russ Bobbit, Lisa Brown, Sharath Pankanti

ICMR 2014

See also:

[Paper] [Video Demo

tailored.jpg

Fast Face Detector Training Using Tailored Views

Kristina Scherbaum, James Petterson, Rogerio Feris, Volker Blanz, Hans-Peter Seidel

ICCV 2013

[Paper

emas.jpg

Efficient Maximum Appearance Search for Large-Scale Object Detection

Qiang Chen, Zheng Song, Rogerio Feris, Ankur Datta, Liangliang Cao, Zhongyang Huang, Shuicheng Yan

CVPR 2013

[Paper

attributes.jpg

Designing Category-level Attributes for Discriminative Visual Recognition

Felix X. Yu, Liangliang Cao, Rogerio Feris, John R. Smith, Shih-Fu Chang

CVPR 2013

[Paper

vehicle.jpg

Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

Rogerio Feris, Behjat Siddiquie, James Petterson, Yun Zhai, Ankur Datta, Lisa Brown, Sharath Pankanti

IEEE Transactions on Multimedia, 2012

See also: Feris et al, Attribute-based Vehicle Search in Crowded Surveillance Videos, ICMR 2011

[Paper] [Video Demos

multiattribute.jpg

Image Ranking and Retrieval Based on Multi-Attribute Queries

Behjat Siddiquie, Rogerio Feris, Larry Davis

CVPR 2011, Oral

[Paper

shape.jpg

Shape Classification Through Structured Learning of Matching Measures

Longbin Chen, Julian McAuley, Rogerio Feris, Tiberio Caetano, Matthew Turk

CVPR 2009

[Paper] [Code

frequency.jpg

A Projector-Camera Setup for Geometry-Invariant Frequency Demultiplexing

Daniel Vaquero, Ramesh Raskar, Rogerio Feris, Matthew Turk

CVPR 2009

[Paper

shadow.jpg

Characterizing the Shadow Space of Camera-Light Pairs

Daniel Vaquero, Rogerio Feris, Mathew Turk, Ramesh Raskar

CVPR 2008

[Paper

expression.jpg

Manifold-based Analysis of Facial Expression

Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk

Image and Vision Computing, 2006

[Paper] [Video Demo

stereo.jpg

Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination

Rogerio Feris, Longbin Chen, Matthew Turk, Ramesh Raskar, KarhanTan

ICCV 2005, Oral 

See also: Feris et al, TPAMI 2007

[Paper] [Project Page] [Code] [Data]

interaction.jpg

Automatic Human Facial Illustrations with Variable Illumination

Rogerio Feris and Alex Olwal

SIGGRAPH Emerging Technologies, 2005 (Interactive Fogscreen)

[Project Page] [Code

npr.jpg

Non-photorealistic Camera: Depth Edge Detection and Stylized Rendering using Multi-Flash Imaging

Ramesh Raskar, Karhan Tan, Rogerio Feris, Jingyi Yu, Matthew Turk

SIGGRAPH 2004

[Paper] [Code] [Project Page] [Video Demo]

specular.jpg

Specular Reflection Reduction with Multi-Flash Imaging

Rogerio Feris, Ramesh Raskar, Karhan Tan, Matthew Turk

SIGGRAPH 2004 

[Paper

medical.jpg

Shape Enhanced Surgical Visualizations and Medical Illustrations with Multi-flash Imaging

Karhan Tan, James Kobler, Rogerio Feris, Paul Dietz, Ramesh Raskar

MICCAI 2004

[Paper

fingerspelling.jpg

Exploiting Depth Discontinuities for Vision-based Fingerspelling Recognition

Rogerio Feris, Matthew Turk, Ramesh Raskar, Karhan Tan, Gosuke Ohashi

CVPR RTV4HCI Workshop 2004

[Paper

gazemaster.jpg

Hierarchical Wavelet Networks for Facial Feature Localization

Rogerio Feris, James Gemmell, Kentaro Toyama, Volker Krueger

Face and Gesture Recognition 2002

Developed as part of the GazeMaster project for videoconferencing. I did this work during my internship at Microsoft Research in 2001.

[Paper] [IFA Head Pose Tracking Demo]

wavelet.jpg

Efficient Real-Time Face Tracking in Wavelet Subspace

Rogerio Feris, Volker Krueger, Roberto Cesar

ICCV RATFG-RTS Workshop, 2001

[Paper] [Video Demo 1] [Video Demo 2]

Talks

Recent Invited/Keynote Talks

  • "Representation Learning based on Synthetic Data"[pdf]

- Google Research India, 2022

  • "Computational Visual Pathways for Multi-Task Learning and Simulation" [Video] [pdf]

- Flatiron Institute, 2022

- Binghamton University, 2022

- University of British Columbia, 2021

  • "Dynamic Neural Networks for Efficient Multimodal Video Understanding" [Video]

- Boston University AIR Distinguished Speaker Series, 2021

  • "How Transferable are Contrastive Representations?" [Video] [pdf]

- CVPR 2021 L2ID Workshop

  • "Adaptive Multimodal Learning for Efficient Video Understanding" [Video] [pdf]

- CVPR 2021 MULA Workshop.

- CVPR 2021 LatinX​ Workshop

  • AI We Can Scale, "Learning to Learn" [Video]

- What's Next in AI event, 2020 

  • "Dynamic Neural Networks for Efficient Image and Video Classification" [Video] [pdf]

- ICML 2020 LatinX in AI Workshop

  • "Visual Learning Beyond Natural Images" [Video] [pdf]

- CVPR 2020 DIRA Workshop

  • "Dynamic Neural Networks for Efficient Inference" [Video] [pdf]

- NeurIPS 2019 EMC^2 Workshop

  • "Is it All Relative? Interactive Fashion Search based on Relative Natural Language Feedback” [pdf]

- CVPR 2019 FFSS-USAD Workshop

  • “Speeding Up Deep Neural Networks with Adaptive Computation and Efficient Multi-Scale Architectures”[pdf]

- CVPR 2019 EMC^2 Workshop

  • "Learning More from Less: Weak Supervision and Beyond" [pdf]

- CVPR 2019 Workshop on Learning from Imperfect Data

Media Press

Press

The postings on this site are my own and don't necessarily represent IBM's positions.

bottom of page