David A. Ross

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 42

Top Topics

Spatio Temporally

Top Venues

Publications

Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR (2024)
David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny
Distribution Aware Metrics for Conditional Natural Language Generation. LREC/COLING (2024)
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR (2024)
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, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR (2024)
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR (2023)
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, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR (2023)
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR (2023)
Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR (2023)
Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR (2023)
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
: Image Captioning by Committee Consensus. CoRR (2023)
David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
IC3: Image Captioning by Committee Consensus. EMNLP (2023)
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CVPR Workshops (2022)
Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. CoRR (2022)
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CoRR (2022)
Lu Mi, Abhijit Kundu, David A. Ross, Frank Dellaert, Noah Snavely, Alireza Fathi
im2nerf: Image to Neural Radiance Field in the Wild. CoRR (2022)
David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR (2022)
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR (2022)
Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++. ICCV (2021)
Bo Hu, Bryan Seybold, Shan Yang, David A. Ross, Avneesh Sud, Graham Ruby, Yi Liu
Optical Mouse: 3D Mouse Pose From Single-View Video. CoRR (2021)
Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. CoRR (2021)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid
Learning Video Representations from Textual Web Supervision. CoRR (2020)
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) (2020)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
D3D: Distilled 3D Networks for Video Action Recognition. WACV (2020)
Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David A. Ross, Brian Brewington, Thomas A. Funkhouser, Caroline Pantofaru
Virtual Multi-view Fusion for 3D Semantic Segmentation. CoRR (2020)
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
Pillar-based Object Detection for Autonomous Driving. CoRR (2020)
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A. Ross, Thomas A. Funkhouser, Alireza Fathi
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. CoRR (2020)
Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David A. Ross, Brian Brewington, Thomas A. Funkhouser, Caroline Pantofaru
Virtual Multi-view Fusion for 3D Semantic Segmentation. ECCV (24) (2020)
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A. Ross, Thomas A. Funkhouser, Alireza Fathi
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. ECCV (18) (2020)
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR (2020)
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR (2020)
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR (2020)
Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman
The AVA-Kinetics Localized Human Actions Video Dataset. CoRR (2020)
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
Pillar-Based Object Detection for Autonomous Driving. ECCV (22) (2020)
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR (2018)
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR (2018)
David A. Ross, Benjamin J. Tamber-Rosenau, Thomas J. Palmeri, JieDong Zhang, Yaoda Xu, Isabel Gauthier
High-resolution Functional Magnetic Resonance Imaging Reveals Configural Processing of Cars in Right Anterior Fusiform Face Area of Car Experts. J. Cogn. Neurosci. 30 (7) (2018)
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR (2018)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
D3D: Distilled 3D Networks for Video Action Recognition. CoRR (2018)
Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR (2017)
Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Lawrence E. Hunter, David A. Ross, James A. Foster, Jason H. Moore
Building the Next Generation of Quantitative Biologists. Pacific Symposium on Biocomputing (2014)
David A. Ross
Extensions and applications of the S-measure construction. J. Symb. Log. 78 (4) (2013)
Omid Madani, Manfred Georg, David A. Ross
On using nearly-independent feature families for high precision and confidence. Mach. Learn. 92 (2-3) (2013)
Thomas C. Walters, David A. Ross, Richard F. Lyon
The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition. CMMR (2012)
Omid Madani, Manfred Georg, David A. Ross
On Using Nearly-Independent Feature Families for High Precision and Confidence. ACML (2012)
Marc A. Lawson, Ellen Yi-Luen Do, James R. Marston, David A. Ross
Helping Hands versus ERSP Vision: Comparing Object Recognition Technologies for the Visually Impaired. HCI (22) (2011)
Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin
The power of comparative reasoning. ICCV (2011)
Vijay Chandrasekhar, Matt Sharifi, David A. Ross
Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. ISMIR (2011)
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross
Automatic Language Identification in music videos with low level audio and visual features. ICASSP (2011)
David A. Ross, Daniel Tarlow, Richard S. Zemel
Learning Articulated Structure and Motion. Int. J. Comput. Vis. 88 (2) (2010)
Ruei-Sung Lin, David A. Ross, Jay Yagnik
SPEC hashing: Similarity preserving algorithm for entropy-based coding. CVPR (2010)
David A. Ross
Process engineering: A necessary step to a better public health system. Inf. Knowl. Syst. Manag. 8 (1-4) (2009)
Vladimir A. Kulyukin, John Nicholson, David A. Ross, James R. Marston, Florence Gaunet
The Blind Leading the Blind: Toward Collaborative Online Route Information Management by Individuals with Visual Impairments. AAAI Spring Symposium: Social Information Processing (2008)
David A. Ross, Daniel Tarlow, Richard S. Zemel
Unsupervised Learning of Skeletons from Motion. ECCV (3) (2008)
David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang
Incremental Learning for Robust Visual Tracking. Int. J. Comput. Vis. 77 (1-3) (2008)
Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei Chen, Jeffrey Saltzman, David A. Ross, Stacey Szymanski, Anil Tarachandani, Mahadev Satyanarayanan
Distributed online anomaly detection in high-content screening. ISBI (2008)
Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis
Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR (2008)
David A. Ross, Richard S. Zemel
Learning Parts-Based Representations of Data. J. Mach. Learn. Res. 7 (2006)
David A. Ross
A nonstandard proof of a lemma from constructive measure theory. Math. Log. Q. 52 (5) (2006)
David A. Ross, Simon Osindero, Richard S. Zemel
Combining discriminative features to infer complex trajectories. ICML (2006)
David A. Ross, Alexander Lightman
Talking braille: a wireless ubiquitous computing network for orientation and wayfinding. ASSETS (2005)
David A. Ross
An Elementary Proof of Lyapunov's Theorem. Am. Math. Mon. 112 (7) (2005)
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang
Incremental Learning for Visual Tracking. NIPS (2004)
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
Adaptive Discriminative Generative Model and Its Applications. NIPS (2004)
David A. Ross
Cyber Crumbs for Successful Aging with Vision Loss. IEEE Pervasive Comput. 3 (2) (2004)
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update. ECCV (2) (2004)
Maribeth Gandy, David A. Ross, Thad E. Starner
Universal Design: Lessons for Wearable Computing. IEEE Pervasive Comput. 2 (3) (2003)
David A. Ross, Richard S. Zemel
Multiple Cause Vector Quantization. NIPS (2002)
David A. Ross, Bruce B. Blasch
Development of a Wearable Computer Orientation System. Pers. Ubiquitous Comput. 6 (1) (2002)
David A. Ross
Implementing Assistive Technology on Wearable Computers. IEEE Intell. Syst. 16 (3) (2001)
David A. Ross, Bruce B. Blasch
Evaluation of Orientation Interfaces for Wearable Computers. ISWC (2000)
David A. Ross, Bruce B. Blasch
Wearable interfaces for orientation and wayfinding. ASSETS (2000)
David A. Ross
Wearable computers as a virtual environment interface for people with visual impairment. Virtual Real. 3 (3) (1998)
David A. Ross, Jon A. Sanford
The Wearable Computer as a Remote Interface for People with Disabilities. ISWC (1997)
Sheldon Klein, David A. Ross, Mark S. Manasse, Johanna Danos, Mark Bickford, Kendall Jensen, Walter A. Burt, Glenn D. Blank, Walter T. Blanks
Propositional & analogical generation of coordinated verbal, visual & musical texts: U. of Wisconsin. SIGART Newsl. 79 (1982)