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ORCIDDavid A. Ross
David Ross 0001
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- affiliation: Google Research, USA
Other persons with the same name
- David Ross — disambiguation page
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2020 – today
- 2025
[j17]David A. Ross:
A density version of a theorem of Banach. J. Log. Anal. 17 (2025)- 2024
- [c43]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: 5064-5095 - [c42]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 - [c41]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. ICML 2024 - [c40]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. ICML 2024 - [c39]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, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - [i28]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 abs/2402.13217 (2024) - [i27]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 abs/2403.01248 (2024) - [i26]Kaiwen Zha, Lijun Yu, Alireza Fathi, David A. Ross, Cordelia Schmid, Dina Katabi, Xiuye Gu:
Language-Guided Image Tokenization for Generation. CoRR abs/2412.05796 (2024) - 2023
- [c38]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: 23369-23379 - [c37]David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. EMNLP 2023: 8975-9003 - [c36]Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. ICCV 2023: 13577-13587 - [c35]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 - [c34]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [c33]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 - [i25]David M. Chan
, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. CoRR abs/2302.01328 (2023) - [i24]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 abs/2306.01736 (2023) - [i23]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 abs/2306.08129 (2023) - [i22]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 abs/2306.17842 (2023) - [i21]Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. CoRR abs/2308.11062 (2023) - [i20]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 abs/2310.05737 (2023) - [i19]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, Joshua V. 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 abs/2312.14125 (2023) - 2022
- [c32]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: 4739-4748 - [i18]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 abs/2205.06253 (2022) - [i17]Lu Mi, Abhijit Kundu, David A. Ross, Frank Dellaert, Noah Snavely, Alireza Fathi:
im2nerf: Image to Neural Radiance Field in the Wild. CoRR abs/2209.04061 (2022) - [i16]David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny:
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR abs/2209.07518 (2022) - [i15]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 abs/2212.05221 (2022) - [i14]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 abs/2212.10596 (2022) - 2021
- [c31]Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa:
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++. ICCV 2021: 13381-13392 - [i13]Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa:
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. CoRR abs/2101.08779 (2021) - [i12]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 abs/2106.09251 (2021) - 2020
- [c30]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) 2020: 443-459 - [c29]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323 - [c28]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: 11910-11919 - [c27]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: 18-34 - [c26]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: 266-282 - [c25]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: 518-535 - [c24]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. WACV 2020: 614-623 - [i11]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. CoRR abs/2003.13594 (2020) - [i10]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 abs/2004.01170 (2020) - [i9]Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman:
The AVA-Kinetics Localized Human Actions Video Dataset. CoRR abs/2005.00214 (2020) - [i8]Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-based Object Detection for Autonomous Driving. CoRR abs/2007.10323 (2020) - [i7]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 abs/2007.12392 (2020) - [i6]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 abs/2007.13138 (2020) - [i5]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR abs/2007.13913 (2020) - [i4]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid:
Learning Video Representations from Textual Web Supervision. CoRR abs/2007.14937 (2020)
2010 – 2019
- 2018
- [j16]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) - [c23]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: 1130-1139 - [c22]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: 6047-6056 - [i3]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 abs/1804.07667 (2018) - [i2]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. CoRR abs/1812.08249 (2018) - 2017
- [i1]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 abs/1705.08421 (2017) - 2014
- [c21]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: 417-421 - 2013
- [j15]David A. Ross:
Extensions and applications of the S-measure construction. J. Symb. Log. 78(4): 1247-1256 (2013) - [j14]Omid Madani, Manfred Georg, David A. Ross:
On using nearly-independent feature families for high precision and confidence. Mach. Learn. 92(2-3): 457-477 (2013) - 2012
- [c20]Thomas C. Walters, David A. Ross, Richard F. Lyon:
The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition. CMMR 2012: 197-213 - [c19]Omid Madani, Manfred Georg, David A. Ross:
On Using Nearly-Independent Feature Families for High Precision and Confidence. ACML 2012: 269-284 - 2011
- [c18]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: 383-388 - [c17]Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross:
Automatic Language Identification in music videos with low level audio and visual features. ICASSP 2011: 5724-5727 - [c16]Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin:
The power of comparative reasoning. ICCV 2011: 2431-2438 - [c15]Vijay Chandrasekhar, Matt Sharifi, David A. Ross:
Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. ISMIR 2011: 801-806 - 2010
- [j13]David A. Ross, Daniel Tarlow, Richard S. Zemel:
Learning Articulated Structure and Motion. Int. J. Comput. Vis. 88(2): 214-237 (2010) - [c14]Ruei-Sung Lin, David A. Ross, Jay Yagnik:
SPEC hashing: Similarity preserving algorithm for entropy-based coding. CVPR 2010: 848-854
2000 – 2009
- 2009
- [b1]David A. Ross:
Learning Probabilistic Models for Visual Motion. University of Toronto, Canada, 2009 - [j12]David A. Ross:
Process engineering: A necessary step to a better public health system. Inf. Knowl. Syst. Manag. 8(1-4): 299-309 (2009) - 2008
- [j11]David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Robust Visual Tracking. Int. J. Comput. Vis. 77(1-3): 125-141 (2008) - [c13]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: 54-59 - [c12]Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis:
Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008 - [c11]David A. Ross, Daniel Tarlow, Richard S. Zemel:
Unsupervised Learning of Skeletons from Motion. ECCV (3) 2008: 560-573 - [c10]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: 249-252 - 2006
- [j10]David A. Ross, Richard S. Zemel:
Learning Parts-Based Representations of Data. J. Mach. Learn. Res. 7: 2369-2397 (2006) - [j9]David A. Ross:
A nonstandard proof of a lemma from constructive measure theory. Math. Log. Q. 52(5): 494-497 (2006) - [c9]David A. Ross, Simon Osindero, Richard S. Zemel:
Combining discriminative features to infer complex trajectories. ICML 2006: 761-768 - 2005
- [j8]David A. Ross:
An Elementary Proof of Lyapunov's Theorem. Am. Math. Mon. 112(7): 651-653 (2005) - [c8]David A. Ross, Alexander Lightman:
Talking braille: a wireless ubiquitous computing network for orientation and wayfinding. ASSETS 2005: 98-105 - 2004
- [j7]David A. Ross:
Cyber Crumbs for Successful Aging with Vision Loss. IEEE Pervasive Comput. 3(2): 30-35 (2004) - [c7]David A. Ross, Jongwoo Lim, Ming-Hsuan Yang:
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update. ECCV (2) 2004: 470-482 - [c6]Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Visual Tracking. NIPS 2004: 793-800 - [c5]Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang:
Adaptive Discriminative Generative Model and Its Applications. NIPS 2004: 801-808 - 2003
- [j6]Maribeth Gandy, David A. Ross, Thad E. Starner:
Universal Design: Lessons for Wearable Computing. IEEE Pervasive Comput. 2(3): 19-23 (2003) - 2002
- [j5]David A. Ross, Bruce B. Blasch:
Development of a Wearable Computer Orientation System. Pers. Ubiquitous Comput. 6(1): 49-63 (2002) - [c4]David A. Ross, Richard S. Zemel:
Multiple Cause Vector Quantization. NIPS 2002: 1017-1024 - 2001
- [j4]David A. Ross:
Implementing Assistive Technology on Wearable Computers. IEEE Intell. Syst. 16(3): 47-53 (2001) - 2000
- [c3]David A. Ross, Bruce B. Blasch:
Wearable interfaces for orientation and wayfinding. ASSETS 2000: 193-200 - [c2]David A. Ross, Bruce B. Blasch:
Evaluation of Orientation Interfaces for Wearable Computers. ISWC 2000: 51-60
1990 – 1999
- 1998
- [j3]David A. Ross:
Wearable computers as a virtual environment interface for people with visual impairment. Virtual Real. 3(3): 212-221 (1998) - 1997
- [c1]David A. Ross, Jon A. Sanford:
The Wearable Computer as a Remote Interface for People with Disabilities. ISWC 1997: 161-162 - 1994
- [j2]Kent Davey, Lanbo Luo, David A. Ross:
Toward functional magnetic stimulation (FMS) theory and experiment. IEEE Trans. Biomed. Eng. 41(11): 1024-1030 (1994)
1980 – 1989
- 1982
- [j1]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: 104 (1982)
Coauthor Index
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