Rogério Feris

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 123

Top Venues

CoRR

CVPR

NeurIPS

ICCV

Publications

Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR (2024)
Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV (2024)
Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky
Large Scale Generative AI Text Applied to Sports and Music. KDD (2024)
James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
Adaptive Memory Replay for Continual Learning. CoRR (2024)
Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems. CoRR (2024)
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Scaling Granite Code Models to 128K Context. CoRR (2024)
Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR (2024)
Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
Comparison Visual Instruction Tuning. CoRR (2024)
Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR (2024)
Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR (2024)
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR (2024)
Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) (2024)
Aaron K. Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogério Feris
Large Scale Generative AI Text Applied to Sports and Music. CoRR (2024)
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. CoRR (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV (2023)
Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV (2023)
Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi
Addressing Feature Suppression in Unsupervised Visual Representations. WACV (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR (2023)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR (2023)
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR (2023)
Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR (2023)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR (2023)
Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. NeurIPS (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR (2023)
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP (2023)
Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR (2023)
Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS (2023)
Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. ICCV (2023)
Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
LangNav: Language as a Perceptual Representation for Navigation. CoRR (2023)
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification. CoRR (2023)
Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH (2023)
Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV (2023)
Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
SimVQA: Exploring Simulated Environments for Visual Question Answering. CoRR (2022)
Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
VALHALLA: Visual Hallucination for Machine Translation. CoRR (2022)
Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. NeurIPS (2022)
Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR (2022)
Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160 (2022)
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR (2022)
Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
Sim VQA: Exploring Simulated Environments for Visual Question Answering. CVPR (2022)
Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR (2022)
Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
How Transferable are Video Representations Based on Synthetic Data? NeurIPS (2022)
Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS (2022)
Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
VALHALLA: Visual Hallucination for Machine Translation. CVPR (2022)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR (2022)
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR (2022)
Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR (2022)
Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. CoRR (2022)
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR (2022)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR (2022)
Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI (2021)
Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
VA-RED2: Video Adaptive Redundancy Reduction. ICLR (2021)
Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS (2021)
Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR (2021)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR (2021)
Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
Separating Skills and Concepts for Novel Visual Question Answering. CoRR (2021)
Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops (2021)
Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR (2021)
Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV (2021)
Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR (2021)
Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR (2021)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR (2021)
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. ICCV (2021)
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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. ICCV (2021)
Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV (2021)
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR (2021)
Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV (2021)
Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR (2021)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech (2021)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR (2021)
Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. 149 (2021)
Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR (2021)
Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
Separating Skills and Concepts for Novel Visual Question Answering. CVPR (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. CoRR (2021)
Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR (2021)
Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR (2021)
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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. CoRR (2021)
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, Rogério Feris, Leonid Karlinsky
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR (2021)
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR (2021)
Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
: Video Adaptive Redundancy Reduction. CoRR (2021)
Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR (2021)
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR (2021)

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Publication Activity (10 Years)

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Rogério Feris