Rogério Feris

161 papers A* 47A 7C 1Misc 2Journal 90Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALM: Class-Conditional Sparse Attention Vectors for Large Audio-Language Models. CoRR Videet Mehta, Liming Wang, Hilde Kuehne, Rogério Feris, James R. Glass, Muhammad Jehanzeb Mirza
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2025	J	`jnl`	Activation Reward Models for Few-Shot Model Alignment. CoRR Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig
2025	A*	`conf`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CVPR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	J	`jnl`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CoRR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	—	`conf`	Comparison Visual Instruction Tuning. CVPR Workshops Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2025	J	`jnl`	Composition-Grounded Instruction Synthesis for Visual Reasoning. CoRR Xinyi Gu, Jiayuan Mao, Zhang-Wei Hong, Zhuoran Yu, Pengyuan Li, Dhiraj Joshi, Rogério Feris, Zexue He
2025	J	`jnl`	DAVE: A VLM Vision Encoder for Document Understanding and Web Agents. CoRR Brandon Huang, Hang Hua, Zhuoran Yu, Trevor Darrell, Rogério Feris, Roei Herzig
2025	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. Trans. Mach. Learn. Res. Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion. CoRR Jacob A. Hansen, Wei Lin, Junmo Kang, Muhammad Jehanzeb Mirza, Hongyin Luo, Rogério Feris, Alan Ritter, James R. Glass, Leonid Karlinsky
2025	J	`jnl`	Latent Implicit Visual Reasoning. CoRR Kelvin Li, Chuyi Shang, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Roei Herzig
2025	A*	`conf`	M+: Extending MemoryLLM with Scalable Long-Term Memory. ICML Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025	J	`jnl`	M+: Extending MemoryLLM with Scalable Long-Term Memory. CoRR Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025	C	`conf`	Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? ASRU Andrew Rouditchenko, Saurabhchand Bhati, Edson Araujo, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? CoRR Andrew Rouditchenko, Saurabhchand Bhati, Edson Araujo, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies. CoRR Lukas Selch, Yufang Hou, Muhammad Jehanzeb Mirza, Sivan Doveh, James R. Glass, Rogério Feris, Wei Lin
2025	A*	`conf`	Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. ICLR Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2025	J	`jnl`	Special Section on SIBGRAPI 2023. Pattern Recognit. Lett. Thales Sehn Körting, Esteban Walter Gonzalez Clua, Rogério Feris, Fernando Vieira Paulovich
2025	J	`jnl`	TTRV: Test-Time Reinforcement Learning for Vision Language Models. CoRR Akshit Singh, Shyam Marjit, Wei Lin, Paul Gavrikov, Serena Yeung-Levy, Hilde Kuehne, Rogério Feris, Sivan Doveh, James R. Glass, Muhammad Jehanzeb Mirza
2025	J	`jnl`	Towards Audio Token Compression in Large Audio Language Models. CoRR Saurabhchand Bhati, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs. CoRR Nasim Borazjanizadeh, Roei Herzig, Eduard Oks, Trevor Darrell, Rogério Feris, Leonid Karlinsky
2025	J	`jnl`	mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. CoRR Andrew Rouditchenko, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. IEEE Signal Process. Lett. Andrew Rouditchenko, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2024	—	`conf`	Adaptive Memory Replay for Continual Learning. CVPR Workshops James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024	J	`jnl`	Adaptive Memory Replay for Continual Learning. CoRR James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024	J	`jnl`	CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
2024	J	`jnl`	Comparison Visual Instruction Tuning. CoRR Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2024	A*	`conf`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR Irene Huang, Wei Lin, Muhammad 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
2024	—	`conf`	DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. SLT Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2024	J	`jnl`	Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. CoRR Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo
2024	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass
2024	A	`conf`	Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
2024	—	`conf`	LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2024	A*	`conf`	Large Scale Generative AI Text Applied to Sports and Music. KDD Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky
2024	J	`jnl`	Large Scale Generative AI Text Applied to Sports and Music. CoRR Aaron K. Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogério Feris
2024	J	`jnl`	Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems. CoRR Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	Scaling Granite Code Models to 128K Context. CoRR 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
2024	J	`jnl`	Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2024	—	`conf`	Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig
2024	J	`jnl`	State-Space Large Audio Language Models. CoRR Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2024	A*	`conf`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. NeurIPS Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	A*	`conf`	What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2024	A	`conf`	Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. INTERSPEECH Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James Glass
2024	J	`jnl`	Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2023	A	`conf`	Addressing Feature Suppression in Unsupervised Visual Representations. WACV Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi
2023	Misc	`conf`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2023	A*	`conf`	CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. ICCV Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke
2023	A*	`conf`	CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023	A	`conf`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	J	`jnl`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	A*	`conf`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS 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
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR 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
2023	A*	`conf`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	A*	`conf`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	J	`jnl`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	A*	`conf`	LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof
2023	J	`jnl`	LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof
2023	J	`jnl`	LangNav: Language as a Perceptual Representation for Navigation. CoRR Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	A*	`conf`	Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	J	`jnl`	Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	A*	`conf`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
2023	A*	`conf`	Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
2023	J	`jnl`	Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim
2023	A	`conf`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2023	J	`jnl`	Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2023	—	`conf`	Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2023	J	`jnl`	TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification. CoRR Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2022	Misc	`conf`	A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
2022	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
2022	J	`jnl`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2022	J	`jnl`	CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022	J	`jnl`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2022	J	`jnl`	Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR 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
2022	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 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
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	A*	`conf`	Procedural Image Programs for Representation Learning. NeurIPS Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	J	`jnl`	Procedural Image Programs for Representation Learning. CoRR Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	A*	`conf`	Sim VQA: Exploring Simulated Environments for Visual Question Answering. CVPR Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
2022	J	`jnl`	SimVQA: Exploring Simulated Environments for Visual Question Answering. CoRR Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
2022	J	`jnl`	Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2022	A*	`conf`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 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
2022	A*	`conf`	VALHALLA: Visual Hallucination for Machine Translation. CVPR Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
2022	J	`jnl`	VALHALLA: Visual Hallucination for Machine Translation. CoRR Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos
2021	A*	`conf`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	J	`jnl`	A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris
2021	A*	`conf`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
2021	A	`conf`	Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	J	`jnl`	Cascaded Multilingual Audio-Visual Learning from Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	A*	`conf`	Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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
2021	A*	`conf`	Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
2021	J	`jnl`	Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke
2021	A*	`conf`	Dynamic Network Quantization for Efficient Video Inference. ICCV Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Dynamic Network Quantization for Efficient Video Inference. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2021	A*	`conf`	Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris
2021	A*	`conf`	Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2021	J	`jnl`	IA-RED CoRR Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	J	`jnl`	MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
2021	A*	`conf`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 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
2021	A*	`conf`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 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
2021	—	`conf`	Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
2021	J	`jnl`	Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
2021	A*	`conf`	Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	J	`jnl`	Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	A*	`conf`	Separating Skills and Concepts for Novel Visual Question Answering. CVPR Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
2021	J	`jnl`	Separating Skills and Concepts for Novel Visual Question Answering. CoRR Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
2021	A*	`conf`	Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
2021	J	`jnl`	Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
2021	A*	`conf`	StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
2021	J	`jnl`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR 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
2021	J	`jnl`	VA-RED CoRR Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	VA-RED2: Video Adaptive Redundancy Reduction. ICLR Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2020	—	`conf`	A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
2020	J	`jnl`	A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
2020	—	`conf`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2020	A*	`conf`	AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko
2020	J	`jnl`	Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	J	`jnl`	Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2020	A*	`conf`	Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	J	`jnl`	Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2020	J	`jnl`	Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	J	`jnl`	Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das
2020	J	`jnl`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	—	`conf`	OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
2020	J	`jnl`	OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
2020	—	`conf`	Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris
2020	J	`jnl`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2020	—	`conf`	TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky
2020	A*	`conf`	Video Instance Segmentation Tracking With a Modified VAE Architecture. CVPR Chung-Ching Lin, Ying Hung, Rogério Feris, Linglin He
2020	J	`jnl`	We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
2020	—	`conf`	We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
2019	A	`conf`	Improving Object Detection from Scratch via Gated Feature Reuse. BMVC Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides
2019	—	`conf`	Video-Text Compliance: Activity Verification Based on Natural Language Instructions. ICCV Workshops Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah