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Vijay Kumar B. G
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2020 – today
- 2024
- [c23]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c22]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c21]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CVPR 2024: 14344-14353 - [i19]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i18]S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker:
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. CoRR abs/2401.00125 (2024) - [i17]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR abs/2404.04627 (2024) - 2023
- [c20]Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - [c19]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV 2023: 11919-11928 - [c18]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS 2023 - [c17]Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler:
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. NeurIPS 2023 - [i16]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR abs/2304.11463 (2023) - [i15]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - [i14]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i13]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. CoRR abs/2310.17050 (2023) - [i12]Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
:
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. CoRR abs/2311.01295 (2023) - 2022
- [c16]Shiyu Zhao
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) 2022: 159-175 - [c15]Zaid Khan
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [i11]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i10]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR abs/2207.08954 (2022) - 2021
- [c14]Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala:
STRIVE: Scene Text Replacement In Videos. ICCV 2021: 14529-14538 - [i9]Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala:
STRIVE: Scene Text Replacement In Videos. CoRR abs/2109.02762 (2021) - 2020
- [j2]Venkateswararao Cherukuri
Deep Retinal Image Segmentation With Regularization Under Geometric Priors. IEEE Trans. Image Process. 29: 2552-2567 (2020) - [i8]Varnith Chordia, Vijay Kumar B. G:
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention. CoRR abs/2011.11735 (2020)
2010 – 2019
- 2019
- [c13]Thanh-Toan Do, Toan Tran, Ian D. Reid
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c12]Venkateswararao Cherukuri, Vijay Kumar B. G, Raja Bala, Vishal Monga:
Multi-Scale Regularized Deep Network for Retinal Vessel Segmentation. ICIP 2019: 824-828 - [i7]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - 2018
- [c11]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c10]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) 2018: 21-37 - [i6]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i5]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR abs/1808.00136 (2018) - 2017
- [c9]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [c8]Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick
DeepSetNet: Predicting Sets with Deep Neural Networks. ICCV 2017: 5257-5266 - [i4]B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. CoRR abs/1704.01285 (2017) - 2016
- [c7]Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR 2016: 5385-5394 - [c6]Ravi Garg
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) 2016: 740-756 - [i3]Ravi Garg, Vijay Kumar B. G, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. CoRR abs/1603.04992 (2016) - [i2]Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid:
DeepSetNet: Predicting Sets with Deep Neural Networks. CoRR abs/1611.08998 (2016) - 2015
- [i1]B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR abs/1512.09272 (2015) - 2013
- [c5]B. G. Vijay Kumar, Ioannis Patras
Supervised dictionary learning for action localization. FG 2013: 1-8 - 2012
- [j1]B. G. Vijay Kumar, Irene Kotsia, Ioannis Patras
Max-margin Non-negative Matrix Factorization. Image Vis. Comput. 30(4-5): 279-291 (2012) - [c4]B. G. Vijay Kumar, Ioannis Patras
Learning codebook weights for action detection. CVPR Workshops 2012: 27-32 - 2011
- [c3]B. G. Vijay Kumar, Ioannis Patras
Max-Margin Semi-NMF. BMVC 2011: 1-11
2000 – 2009
- 2008
- [c2]B. G. Vijay Kumar, Rangarajan Aravind
Face hallucination using OLPP and Kernel Ridge Regression. ICIP 2008: 353-356 - [c1]B. G. Vijay Kumar, Rangarajan Aravind:
A 2D model for face superresolution. ICPR 2008: 1-4
Coauthor Index
aka: Manmohan Chandraker
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