Apple Intelligence Foundation Language Models - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang; Chen Chen; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

Ultra-Wideband Microwave Imaging System for Root Phenotyping - Xiaodong Shi; Jiaoyang Li; Saptarshi Mukherjee; Srijan Datta; Vivek Rathod; Xinyu Wang; Wei Lu; Lalita Udpa; Yiming Deng (Sensors, 2022)

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift - Sara Beery; Guanhang Wu; Trevor Edwards; Filip Pavetic; Bo Majewski; Shreyasee Mukherjee; Stanley Chan; John Morgan; Vivek Rathod; Jonathan Huang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 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)

The surprising impact of mask-head architecture on novel class segmentation - Vighnesh Birodkar; Zhichao Lu; Siyang Li; Vivek Rathod; Jonathan Huang (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

The surprising impact of mask-head architecture on novel class segmentation - Vighnesh Birodkar; Zhichao Lu; Siyang Li; Vivek Rathod; Jonathan Huang (CoRR, 2021)

A Review of Acoustic Impedance Matching Techniques for Piezoelectric Sensors and Transducers - Vivek Rathod (Sensors, 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 (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection - Sara Beery; Guanhang Wu; Vivek Rathod; Ronny Votel; Jonathan Huang (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

RetinaTrack: Online Single Stage Joint Detection and Tracking - Zhichao Lu; Vivek Rathod; Ronny Votel; Jonathan Huang (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

RetinaTrack: Online Single Stage Joint Detection and Tracking - Zhichao Lu; Vivek Rathod; Ronny Votel; Jonathan Huang (CoRR, 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 (CoRR, 2020)

Long Term Temporal Context for Per-Camera Object Detection - Sara Beery; Guanhang Wu; Vivek Rathod; Ronny Votel; Jonathan Huang (CoRR, 2019)

Pooling Pyramid Network for Object Detection - Pengchong Jin; Vivek Rathod; Xiangxin Zhu (CoRR, 2018)

Deep Metric Learning via Facility Location - Hyun Oh Song; Stefanie Jegelka; Vivek Rathod; Kevin Murphy (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors - Jonathan Huang; Vivek Rathod; Chen Sun; Menglong Zhu; Anoop Korattikara; Alireza Fathi; Ian Fischer; Zbigniew Wojna; Yang Song; Sergio Guadarrama; Kevin Murphy (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Semantic Instance Segmentation via Deep Metric Learning - Alireza Fathi; Zbigniew Wojna; Vivek Rathod; Peng Wang; Hyun Oh Song; Sergio Guadarrama; Kevin P. Murphy (CoRR, 2017)

Speed/accuracy trade-offs for modern convolutional object detectors - Jonathan Huang; Vivek Rathod; Chen Sun; Menglong Zhu; Anoop Korattikara; Alireza Fathi; Ian Fischer; Zbigniew Wojna; Yang Song; Sergio Guadarrama; Kevin Murphy (CoRR, 2016)

Learnable Structured Clustering Framework for Deep Metric Learning - Hyun Oh Song; Stefanie Jegelka; Vivek Rathod; Kevin Murphy (CoRR, 2016)

Im2Calories: Towards an Automated Mobile Vision Food Diary - Austin Myers; Nick Johnston; Vivek Rathod; Anoop Korattikara; Alexander N. Gorban; Nathan Silberman; Sergio Guadarrama; George Papandreou; Jonathan Huang; Kevin Murphy (2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, 2015)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy (NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, 2015)

Bayesian dark knowledge - Anoop Korattikara Balan; Vivek Rathod; Kevin P. Murphy; Max Welling (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nick Johnston; Andrew Rabinovich; Kevin Murphy (CoRR, 2015)

Bayesian Dark Knowledge - Anoop Korattikara Balan; Vivek Rathod; Kevin Murphy; Max Welling (CoRR, 2015)

QuantMiner for mining quantitative association rules - Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet; Xiangrong Kong; Vivek Rathod; Daniel Cassard (J. Mach. Learn. Res., 2013)