Marks, Markus

7 publications

ICLR 2026 SAM 3: Segment Anything with Concepts Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris Coll-Vinent, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollar, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer

WACV 2025 Learning Keypoints for Multi-Agent Behavior Analysis Using Self-Supervision Daniel Khalil, Christina Liu, Pietro Perona, Jennifer Sun, Markus Marks

CVPR 2025 Probing the Mid-Level Vision Capabilities of Self-Supervised Learning Xuweiyi Chen, Markus Marks, Zezhou Cheng

ICLRW 2024 Less Is More: Discovering Concise Network Explanations Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona

CVPR 2024 Text-Image Alignment for Diffusion-Based Perception Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogerio Guimaraes, Pietro Perona

ICML 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy

NeurIPS 2020 Robust Disentanglement of a Few Factors at a Time Using rPU-VAE Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik