Rogrio Feris
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
15
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Activation Reward Models for Few-Shot Model Alignment. | Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogrio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ASRU | Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? | Andrew Rouditchenko, Saurabhchand Bhati, Edson Araujo, Samuel Thomas, Hilde Kuehne, Rogrio Feris, James R. Glass |
| 2025 | CVPR | Comparison Visual Instruction Tuning. | Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogrio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky |
| 2025 | CVPR | CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. | Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogrio Feris, James R. Glass, Hilde Kuehne |
| 2025 | ICCV | Teaching VLMs to Localize Specific Objects from In-Context Examples. | Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogrio Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza |
| 2025 | ICCV | BATCLIP: Bimodal Online Test-Time Adaptation for CLIP. | Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogrio Feris, Yunhui Guo |
| 2025 | ICCV | Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features. | Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogrio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ICLR | Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. | Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogrio Feris, Alan Ritter |
| 2025 | ICML | M+: Extending MemoryLLM with Scalable Long-Term Memory. | Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogrio Feris, Zexue He |
| 2024 | ACL | Self-Specialization: Uncovering Latent Expertise within Large Language Models. | Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogrio Feris, Leonid Karlinsky |
| 2024 | CVPR | What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. | Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogrio Feris, James R. Glass, Hilde Kuehne |
| 2024 | CVPR | Adaptive Memory Replay for Continual Learning. | James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogrio Feris, Zsolt Kira, Leonid Karlinsky |
| 2024 | Interspeech | Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. | Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogrio Feris, James Glass |
| 2024 | KDD | Large Scale Generative AI Text Applied to Sports and Music. | Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogrio Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky |
| 2024 | NAACL | LangNav: Language as a Perceptual Representation for Navigation. | Bowen Pan, Rameswar Panda, SouYoung Jin, Rogrio Feris, Aude Oliva, Phillip Isola, Yoon Kim |
| 2024 | WACV | Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. | Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2023 | ACL | Synthetic Pre-Training Tasks for Neural Machine Translation. | Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogrio Feris |
| 2023 | CVPR | Teaching Structured Vision & Language Concepts to Vision & Language Models. | Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogrio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky |
| 2023 | CVPR | ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. | James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogrio Feris, Leonid Karlinsky |
| 2023 | CVPR | CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. | James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogrio Feris, Zsolt Kira |
| 2023 | EMNLP | Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. | Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogrio Feris, Trevor Darrell, Amir Globerson |
| 2023 | ICASSP | C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. | Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogrio Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass |
| 2023 | ICCV | MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. | Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogrio Feris, Hilde Kuehne, Horst Bischof |
| 2023 | ICCV | Going Beyond Nouns With Vision & Language Models Using Synthetic Data. | Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gl Varol, Aude Oliva, Vicente Ordonez, Rogrio Feris, Leonid Karlinsky |
| 2023 | ICCV | CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. | Kaihong Wang, Donghyun Kim, Rogrio Feris, Margrit Betke |
| 2023 | ICLR | Learning to Grow Pretrained Models for Efficient Transformer Training. | Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogrio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim |
| 2023 | ICLR | Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. | Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogrio Feris, Huan Sun, Yoon Kim |
| 2023 | Interspeech | Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. | Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogrio Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass |
| 2023 | WACV | Addressing Feature Suppression in Unsupervised Visual Representations. | Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogrio Feris, Piotr Indyk, Dina Katabi |
| 2023 | WACV | Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. | Aadarsh Sahoo, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2022 | CVPR | Sim VQA: Exploring Simulated Environments for Visual Question Answering. | Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogrio Feris, Vicente Ordonez |
| 2022 | CVPR | Unsupervised Domain Generalization by Learning a Bridge Across Domains. | 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, Rogrio Feris, Leonid Karlinsky |
| 2022 | CVPR | Targeted Supervised Contrastive Learning for Long-Tailed Recognition. | Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogrio Feris, Piotr Indyk, Dina Katabi |
| 2022 | CVPR | VALHALLA: Visual Hallucination for Machine Translation. | Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogrio Feris, David D. Cox, Nuno Vasconcelos |
| 2022 | CVPR | Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. | Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogrio Feris, David Harwath, James R. Glass, Hilde Kuehne |
| 2022 | ICASSP | A Maximal Correlation Approach to Imposing Fairness in Machine Learning. | Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogrio Feris |
| 2021 | AAAI | StarNet: towards Weakly Supervised Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogrio Feris, Alex M. Bronstein, Raja Giryes |
| 2021 | AAAI | NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. | Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogrio Feris, David S. Kung, Bishwaranjan Bhattacharjee |
| 2021 | CVPR | Fine-Grained Angular Contrastive Learning With Coarse Labels. | Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2021 | CVPR | Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. | Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogrio Feris, John Cohn, Aude Oliva, Quanfu Fan |
| 2021 | CVPR | Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. | Jiachen Li, Bowen Cheng, Rogrio Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi |
| 2021 | CVPR | Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. | Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogrio Feris, James R. Glass, Aude Oliva |
| 2021 | CVPR | Semi-Supervised Action Recognition With Temporal Contrastive Learning. | Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2021 | CVPR | Separating Skills and Concepts for Novel Visual Question Answering. | Spencer Whitehead, Hui Wu, Heng Ji, Rogrio Feris, Kate Saenko |
| 2021 | CVPR | 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, Rogrio Feris |
| 2021 | ICCV | 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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogrio Feris, Leonid Karlinsky |
| 2021 | ICCV | Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. | Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogrio Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang |
| 2021 | ICCV | A Broad Study on the Transferability of Visual Representations with Contrastive Learning. | Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogrio Feris |
| 2021 | ICCV | AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. | Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICCV | Dynamic Network Quantization for Efficient Video Inference. | Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2021 | ICLR | AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. | Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICLR | VA-RED2: Video Adaptive Redundancy Reduction. | Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | Interspeech | Cascaded Multilingual Audio-Visual Learning from Videos. | Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogrio Feris, Brian Kingsbury, Michael Picheny, James R. Glass |
| 2020 | CVPR | Video Instance Segmentation Tracking With a Modified VAE Architecture. | Chung-Ching Lin, Ying Hung, Rogrio Feris, Linglin He |
| 2020 | CVPR | Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. | Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogrio Feris |
| 2020 | CVPR | Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. | Zhonghao Wang, Mo Yu, Yunchao Wei, Rogrio Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi |
| 2020 | ECCV | OnlineAugment: Online Data Augmentation with Less Domain Knowledge. | Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogrio Feris, Dimitris N. Metaxas |
| 2020 | ECCV | We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. | Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogrio Feris, Carl Vondrick, Aude Oliva |
| 2020 | ECCV | A Broader Study of Cross-Domain Few-Shot Learning. | Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogrio Feris |
| 2020 | ECCV | TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. | Moshe Lichtenstein, Prasanna Sattigeri, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2020 | ECCV | AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. | Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogrio Feris |
| 2019 | BMVC | Improving Object Detection from Scratch via Gated Feature Reuse. | Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogrio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides |