Dahun Kim - RankMe

73 papers A* 20A 7B 1Journal 43Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Taking Shortcuts for Categorical VQA Using Super Neurons. CoRR Pierre Musacchio, Jaeyi Jeong, Dahun Kim, Jaesik Park
2025	J	`jnl`	Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment. CoRR Dahun Kim, Anelia Angelova
2025	J	`jnl`	EmbeddingGemma: Powerful and Lightweight Text Representations. CoRR Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini
2025	A	`conf`	Learning Visual Grounding from Generative Vision and Language Model. WACV Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo
2025	J	`jnl`	Time-Scaling State-Space Models for Dense Video Captioning. CoRR A. J. Piergiovanni, Ganesh Satish Mallya, Dahun Kim, Anelia Angelova
2025	A*	`conf`	VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. CVPR Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova
2025	J	`jnl`	VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. CoRR Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova
2025	J	`jnl`	Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications. CoRR Ganesh Satish Mallya, Yotam Gigi, Dahun Kim, Maxim Neumann, Genady Beryozkin, Tomer Shekel, Anelia Angelova
2024	J	`jnl`	Learning Visual Grounding from Generative Vision and Language Model. CoRR Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo
2024	A*	`conf`	Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. CVPR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2024	J	`jnl`	OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All. CoRR Yuanhuiyi Lyu, Xu Zheng, Dahun Kim, Lin Wang
2024	—	`conf`	Region-Centric Image-Language Pretraining for Open-Vocabulary Detection. ECCV (63) Dahun Kim, Anelia Angelova, Weicheng Kuo
2024	J	`jnl`	Textless Unit-to-Unit Training for Many-to-Many Multilingual Speech-to-Speech Translation. IEEE ACM Trans. Audio Speech Lang. Process. Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro
2024	J	`jnl`	Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. IEEE Robotics Autom. Lett. Ji-Yeon Kim, Oh Hyun-Bin, Byung-Ki Kwon, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh
2024	A	`conf`	Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2024	J	`jnl`	Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. CoRR A. J. Piergiovanni, Dahun Kim, Michael S. Ryoo, Isaac Noble, Anelia Angelova
2023	A*	`conf`	Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
2023	J	`jnl`	Many-to-Many Spoken Language Translation via Unified Speech and Text Representation Learning with Unit-to-Unit Translation. CoRR Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro
2023	B	`conf`	Memory-Aware DVFS Governing Policy for Improved Energy-Saving in the Linux Kernel. RTCSA Philkyue Shin, Dahun Kim, Seongsoo Hong
2023	J	`jnl`	Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2023	A*	`conf`	Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. ICLR Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
2023	J	`jnl`	Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. CoRR Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
2023	J	`jnl`	RECLIP: Resource-efficient CLIP by Training with Small Images. CoRR Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
2023	J	`jnl`	RECLIP: Resource-efficient CLIP by Training with Small Images. Trans. Mach. Learn. Res. Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
2023	A*	`conf`	Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR Dahun Kim, Anelia Angelova, Weicheng Kuo
2023	J	`jnl`	Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2022	A*	`conf`	CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022	J	`jnl`	CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022	J	`jnl`	Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation. IEEE Trans. Image Process. Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2022	J	`jnl`	Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2022	A	`conf`	Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. WACV Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs
2022	A*	`conf`	TubeFormer-DeepLab: Video Mask Transformer. CVPR Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
2022	J	`jnl`	TubeFormer-DeepLab: Video Mask Transformer. CoRR Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen
2021	J	`jnl`	DeepLab2: A TensorFlow Library for Deep Labeling. CoRR Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
2021	A	`conf`	Global Context and Geometric Priors for Effective Non-Local Self-Attention. BMVC Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
2021	J	`jnl`	Learning Open-World Object Proposals without Learning to Classify. CoRR Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2021	A*	`conf`	Learning To Associate Every Segment for Video Panoptic Segmentation. CVPR Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
2021	J	`jnl`	Learning to Associate Every Segment for Video Panoptic Segmentation. CoRR Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
2021	A*	`conf`	Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. NeurIPS Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
2021	J	`jnl`	Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. CoRR Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
2021	A	`conf`	The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. WACV Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon
2020	A	`conf`	Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. BMVC Sanghyun Woo, Dahun Kim, Kwanyong Park, Joon-Young Lee, In So Kweon
2020	A*	`conf`	Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. AAAI Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon
2020	J	`jnl`	Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. CoRR Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon
2020	J	`jnl`	Recurrent Temporal Aggregation Framework for Deep Video Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2020	A*	`conf`	Rotationally-Consistent Novel View Synthesis for Humans. ACM Multimedia Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Viswanathan Swaminathan
2020	—	`conf`	Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. ECCV (4) Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs
2020	J	`jnl`	The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. CoRR Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon
2020	A*	`conf`	Video Panoptic Segmentation. CVPR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2020	J	`jnl`	Video Panoptic Segmentation. CoRR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2019	J	`jnl`	Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. CoRR Sanghyun Woo, Dahun Kim, Kwanyong Park, Joon-Young Lee, In So Kweon
2019	A*	`conf`	Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CVPR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2019	J	`jnl`	Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CoRR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2019	A*	`conf`	Deep Video Inpainting. CVPR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2019	J	`jnl`	Deep Video Inpainting. CoRR Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2019	A*	`conf`	Discriminative Feature Learning for Unsupervised Video Summarization. AAAI Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
2019	A*	`conf`	Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. ACM Multimedia Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
2019	J	`jnl`	Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. CoRR Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
2019	A*	`conf`	Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. AAAI Dahun Kim, Donghyeon Cho, In So Kweon
2019	A*	`conf`	Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency. ACM Multimedia Donghyeon Cho, Yunjae Jung, François Rameau, Dahun Kim, Sanghyun Woo, In So Kweon
2018	J	`jnl`	Discriminative Feature Learning for Unsupervised Video Summarization. CoRR Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
2018	A	`conf`	Learning Image Representations by Completing Damaged Jigsaw Puzzles. WACV Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
2018	J	`jnl`	Learning Image Representations by Completing Damaged Jigsaw Puzzles. CoRR Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
2018	A*	`conf`	LinkNet: Relational Embedding for Scene Graph. NeurIPS Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
2018	J	`jnl`	LinkNet: Relational Embedding for Scene Graph. CoRR Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
2018	J	`jnl`	Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. CoRR Dahun Kim, Donghyeon Cho, In So Kweon
2017	A*	`conf`	Two-Phase Learning for Weakly Supervised Object Localization. ICCV Dahun Kim, Donghyeon Cho, Donggeun Yoo
2017	J	`jnl`	Two-Phase Learning for Weakly Supervised Object Localization. CoRR Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.