YOLACT: Real-Time Instance Segmentation. - Daniel Bolya; Chong Zhou; Fanyi Xiao; Yong Jae Lee (ICCV, 2019)

TIDE: A General Toolbox for Identifying Object Detection Errors. - Daniel Bolya; Sean Foley; James Hays; Judy Hoffman (ECCV (3), 2020)

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. - Fu Lin; Rohit Mittapalli; Prithvijit Chattopadhyay; Daniel Bolya; Judy Hoffman (ECCV Workshops (1), 2020)

Scalable Diverse Model Selection for Accessible Transfer Learning. - Daniel Bolya; Rohit Mittapalli; Judy Hoffman (NeurIPS, 2021)

Hydra Attention: Efficient Attention with Many Heads. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Judy Hoffman (ECCV Workshops (7), 2022)

YOLACT++ Better Real-Time Instance Segmentation. - Daniel Bolya; Chong Zhou; Fanyi Xiao; Yong Jae Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Token Merging for Fast Stable Diffusion. - Daniel Bolya; Judy Hoffman (CVPR Workshops, 2023)

Token Merging: Your ViT But Faster. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Christoph Feichtenhofer; Judy Hoffman (ICLR, 2023)

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. - Chaitanya Ryali; Yuan-Ting Hu; Daniel Bolya; Chen Wei 005; Haoqi Fan 001; Po-Yao Huang 001; Vaibhav Aggarwal; Arkabandhu Chowdhury; Omid Poursaeed; Judy Hoffman; Jitendra Malik; Yanghao Li; et al. (ICML, 2023)

ZipIt! Merging Models from Different Tasks without Training. - George Stoica; Daniel Bolya; Jakob Bjorner; Taylor Hearn; Judy Hoffman (CoRR, 2023)

Window Attention is Bugged: How not to Interpolate Position Embeddings. - Daniel Bolya; Chaitanya Ryali; Judy Hoffman; Christoph Feichtenhofer (ICLR, 2024)

ZipIt! Merging Models from Different Tasks without Training. - George Stoica; Daniel Bolya; Jakob Bjorner; Pratik Ramesh; Taylor Hearn; Judy Hoffman (ICLR, 2024)

Less is More: Accelerating Vision by Eliminating Redundancy. - Daniel Bolya (2024)

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders. - Fiona Ryan; Ajay Bati; Sangmin Lee 001; Daniel Bolya; Judy Hoffman; James M. Rehg (CVPR, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

Perception Encoder: The best visual embeddings are not at the output of the network. - Daniel Bolya; Po-Yao Huang 001; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei 005; Tengyu Ma 005; Jiale Zhi; Jathushan Rajasegaran; Hanoona Rasheed; Junke Wang; Marco Monteiro; et al. (CoRR, 2025)