Propositional & analogical generation of coordinated verbal, visual & musical texts: U. of Wisconsin. - Sheldon Klein; David A. Ross; Mark S. Manasse; Johanna Danos; Mark Bickford; Kendall Jensen; Walter A. Burt; Glenn D. Blank; Walter T. Blanks (SIGART Newsl., 1982)

Toward functional magnetic stimulation (FMS) theory and experiment. - Kent Davey; Lanbo Luo; David A. Ross (IEEE Trans. Biomed. Eng., 1994)

The Wearable Computer as a Remote Interface for People with Disabilities. - David A. Ross; Jon A. Sanford (ISWC, 1997)

Wearable computers as a virtual environment interface for people with visual impairment. - David A. Ross (Virtual Real., 1998)

Wearable interfaces for orientation and wayfinding. - David A. Ross; Bruce B. Blasch (ASSETS, 2000)

Evaluation of Orientation Interfaces for Wearable Computers. - David A. Ross; Bruce B. Blasch (ISWC, 2000)

Implementing Assistive Technology on Wearable Computers. - David A. Ross (IEEE Intell. Syst., 2001)

Multiple Cause Vector Quantization. - David A. Ross; Richard S. Zemel (NIPS, 2002)

Development of a Wearable Computer Orientation System. - David A. Ross; Bruce B. Blasch (Pers. Ubiquitous Comput., 2002)

Universal Design: Lessons for Wearable Computing. - Maribeth Gandy; David A. Ross; Thad E. Starner (IEEE Pervasive Comput., 2003)

Adaptive Probabilistic Visual Tracking with Incremental Subspace Update. - David A. Ross; Jongwoo Lim; Ming-Hsuan Yang 001 (ECCV (2), 2004)

Incremental Learning for Visual Tracking. - Jongwoo Lim; David A. Ross; Ruei-Sung Lin; Ming-Hsuan Yang 001 (NIPS, 2004)

Adaptive Discriminative Generative Model and Its Applications. - Ruei-Sung Lin; David A. Ross; Jongwoo Lim; Ming-Hsuan Yang 001 (NIPS, 2004)

Cyber Crumbs for Successful Aging with Vision Loss. - David A. Ross (IEEE Pervasive Comput., 2004)

Talking braille: a wireless ubiquitous computing network for orientation and wayfinding. - David A. Ross; Alexander Lightman (ASSETS, 2005)

An Elementary Proof of Lyapunov's Theorem. - David A. Ross (Am. Math. Mon., 2005)

Combining discriminative features to infer complex trajectories. - David A. Ross; Simon Osindero; Richard S. Zemel (ICML, 2006)

Learning Parts-Based Representations of Data. - David A. Ross; Richard S. Zemel (J. Mach. Learn. Res., 2006)

A nonstandard proof of a lemma from constructive measure theory. - David A. Ross (Math. Log. Q., 2006)

The Blind Leading the Blind: Toward Collaborative Online Route Information Management by Individuals with Visual Impairments. - Vladimir A. Kulyukin; John Nicholson; David A. Ross; James R. Marston; Florence Gaunet (AAAI Spring Symposium: Social Information Processing, 2008)

Learning stick-figure models using nonparametric Bayesian priors over trees. - Edward Meeds; David A. Ross; Richard S. Zemel; Sam T. Roweis (CVPR, 2008)

Unsupervised Learning of Skeletons from Motion. - David A. Ross; Daniel Tarlow; Richard S. Zemel (ECCV (3), 2008)

Distributed online anomaly detection in high-content screening. - Adam Goode; Rahul Sukthankar; Lily B. Mummert; Mei Chen; Jeffrey Saltzman 002; David A. Ross; Stacey Szymanski; Anil Tarachandani; Mahadev Satyanarayanan (ISBI, 2008)

Incremental Learning for Robust Visual Tracking. - David A. Ross; Jongwoo Lim; Ruei-Sung Lin; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2008)

Process engineering: A necessary step to a better public health system. - David A. Ross (Inf. Knowl. Syst. Manag., 2009)

Learning Probabilistic Models for Visual Motion. - David A. Ross (2009)

SPEC hashing: Similarity preserving algorithm for entropy-based coding. - Ruei-Sung Lin; David A. Ross; Jay Yagnik (CVPR, 2010)

Learning Articulated Structure and Motion. - David A. Ross; Daniel Tarlow; Richard S. Zemel (Int. J. Comput. Vis., 2010)

Helping Hands versus ERSP Vision: Comparing Object Recognition Technologies for the Visually Impaired. - Marc A. Lawson; Ellen Yi-Luen Do; James R. Marston; David A. Ross (HCI (22), 2011)

Automatic Language Identification in music videos with low level audio and visual features. - Vijay Chandrasekhar 001; Mehmet Emre Sargin; David A. Ross (ICASSP, 2011)

The power of comparative reasoning. - Jay Yagnik; Dennis Strelow; David A. Ross; Ruei-Sung Lin (ICCV, 2011)

Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. - Vijay Chandrasekhar 001; Matt Sharifi; David A. Ross (ISMIR, 2011)

The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition. - Thomas C. Walters; David A. Ross; Richard F. Lyon (CMMR, 2012)

Extensions and applications of the S-measure construction. - David A. Ross (J. Symb. Log., 2013)

On using nearly-independent feature families for high precision and confidence. - Omid Madani; Manfred Georg; David A. Ross (Mach. Learn., 2013)

Building the Next Generation of Quantitative Biologists. - Kristine A. Pattin; Anna C. Greene; Russ B. Altman; Lawrence E. Hunter; David A. Ross; James A. Foster; Jason H. Moore (Pacific Symposium on Biocomputing, 2014)

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; Sudheendra Vijayanarasimhan; Caroline Pantofaru; David A. Ross; George Toderici; Yeqing Li; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CoRR, 2017)

Rethinking the Faster R-CNN Architecture for Temporal Action Localization. - Yu-Wei Chao; Sudheendra Vijayanarasimhan; Bryan Seybold; David A. Ross; Jia Deng 001; Rahul Sukthankar (CVPR, 2018)

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; David A. Ross; Carl Vondrick; Caroline Pantofaru; Yeqing Li; Sudheendra Vijayanarasimhan; George Toderici; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CVPR, 2018)

High-resolution Functional Magnetic Resonance Imaging Reveals Configural Processing of Cars in Right Anterior Fusiform Face Area of Car Experts. - David A. Ross; Benjamin J. Tamber-Rosenau; Thomas J. Palmeri; JieDong Zhang; Yaoda Xu; Isabel Gauthier (J. Cogn. Neurosci., 2018)

Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. - David M. Chan; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (ACCV (5), 2020)

Speech2Action: Cross-Modal Supervision for Action Recognition. - Arsha Nagrani; Chen Sun 002; David Ross 001; Rahul Sukthankar; Cordelia Schmid; Andrew Zisserman (CVPR, 2020)

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. - Mahyar Najibi; Guangda Lai; Abhijit Kundu; Zhichao Lu; Vivek Rathod; Thomas A. Funkhouser; Caroline Pantofaru; David A. Ross; Larry S. Davis; Alireza Fathi (CVPR, 2020)

An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. - Rui Huang; Wanyue Zhang; Abhijit Kundu; Caroline Pantofaru; David A. Ross; Thomas A. Funkhouser; Alireza Fathi (ECCV (18), 2020)

Virtual Multi-view Fusion for 3D Semantic Segmentation. - Abhijit Kundu; Xiaoqi Yin; Alireza Fathi; David A. Ross; Brian Brewington; Thomas A. Funkhouser; Caroline Pantofaru (ECCV (24), 2020)

Pillar-Based Object Detection for Autonomous Driving. - Yue Wang 041; Alireza Fathi; Abhijit Kundu; David A. Ross; Caroline Pantofaru; Thomas A. Funkhouser; Justin Solomon 001 (ECCV (22), 2020)

D3D: Distilled 3D Networks for Video Action Recognition. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar (WACV, 2020)

The AVA-Kinetics Localized Human Actions Video Dataset. - Ang Li; Meghana Thotakuri; David A. Ross; João Carreira 001; Alexander Vostrikov; Andrew Zisserman (CoRR, 2020)

Learning Video Representations from Textual Web Supervision. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar; Cordelia Schmid (CoRR, 2020)

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++. - Ruilong Li; Shan Yang; David A. Ross; Angjoo Kanazawa (ICCV, 2021)

Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. - Ruilong Li; Shan Yang; David A. Ross; Angjoo Kanazawa (CoRR, 2021)

Optical Mouse: 3D Mouse Pose From Single-View Video. - Bo Hu; Bryan Seybold; Shan Yang; David A. Ross; Avneesh Sud; Graham Ruby; Yi Liu (CoRR, 2021)

What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. - David M. Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; Bryan Seybold; John F. Canny (CVPR Workshops, 2022)

im2nerf: Image to Neural Radiance Field in the Wild. - Lu Mi; Abhijit Kundu; David A. Ross; Frank Dellaert; Noah Snavely; Alireza Fathi (CoRR, 2022)

Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. - Vivek Rathod; Bryan Seybold; Sudheendra Vijayanarasimhan; Austin Myers; Xiuye Gu; Vighnesh Birodkar; David A. Ross (CoRR, 2022)

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Zirui Wang; Kai-Wei Chang; Yizhou Sun; Cordelia Schmid; David A. Ross; Alireza Fathi (CVPR, 2023)

IC3: Image Captioning by Committee Consensus. - David Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (EMNLP, 2023)

UnLoc: A Unified Framework for Video Localization Tasks. - Shen Yan; Xuehan Xiong; Arsha Nagrani; Anurag Arnab; Zhonghao Wang; Weina Ge; David Ross 001; Cordelia Schmid (ICCV, 2023)

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. - Xiuye Gu; Yin Cui; Jonathan Huang; Abdullah Rashwan; Xuan Yang; Xingyi Zhou; Golnaz Ghiasi; Weicheng Kuo; Huizhong Chen; Liang-Chieh Chen; David A. Ross (NeurIPS, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David Ross 001; Cordelia Schmid; Alireza Fathi (NeurIPS, 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng; Zhiruo Wang; Vivek Kumar; Wolfgang Macherey; Yanping Huang; David A. Ross; Irfan Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

IC3: Image Captioning by Committee Consensus. - David M. Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (CoRR, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Models. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2023)

Distribution Aware Metrics for Conditional Natural Language Generation. - David M. Chan; Yiming Ni; David A. Ross; Sudheendra Vijayanarasimhan; Austin Myers; John F. Canny (LREC/COLING, 2024)

Language Model Beats Diffusion - Tokenizer is key to visual generation. - Lijun Yu; José Lezama; Nitesh Bharadwaj Gundavarapu; Luca Versari; Kihyuk Sohn; David Minnen; Yong Cheng; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 2024)

VideoPrism: A Foundational Visual Encoder for Video Understanding. - Long Zhao 003; Nitesh Bharadwaj Gundavarapu; Liangzhe Yuan; Hao Zhou 014; Shen Yan; Jennifer J. Sun; Luke Friedman; Rui Qian; Tobias Weyand; Yue Zhao 006; Rachel Hornung; Florian Schroff; et al. (ICML, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (ICML, 2024)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2024)

Language-Guided Image Tokenization for Generation. - Kaiwen Zha; Lijun Yu; Alireza Fathi; David A. Ross; Cordelia Schmid; Dina Katabi; Xiuye Gu (CVPR, 2025)

A density version of a theorem of Banach. - David A. Ross (J. Log. Anal., 2025)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation. - Sihyun Yu; Meera Hahn; Dan Kondratyuk; Jinwoo Shin; Agrim Gupta; José Lezama; Irfan Essa; David A. Ross; Jonathan Huang (CoRR, 2025)