Vijay Kumar B. G

28 papers A* 9B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning. CoRR Fucai Ke, Vijay Kumar B. G, Xingjian Leng, Zhixi Cai, Zaid Khan, Weiqing Wang, Pari Delir Haghighi, Hamid Rezatofighi, Manmohan Chandraker
2025	J	`jnl`	ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models. CoRR Dohwan Ko, Sihyeon Kim, Yumin Suh, Vijay Kumar B. G, Minseo Yoon, Manmohan Chandraker, Hyunwoo J. Kim
2024	A*	`conf`	Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
2024	J	`jnl`	Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
2024	J	`jnl`	LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. CoRR S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker
2024	A*	`conf`	Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CVPR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2024	J	`jnl`	Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2023	A*	`conf`	DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. NeurIPS Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
2023	J	`jnl`	DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. CoRR Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
2023	A*	`conf`	Exploring Question Decomposition for Zero-Shot VQA. NeurIPS Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023	J	`jnl`	Exploring Question Decomposition for Zero-Shot VQA. CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023	J	`jnl`	Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
2023	A*	`conf`	OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
2023	J	`jnl`	OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
2023	J	`jnl`	Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
2022	J	`jnl`	Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
2022	J	`jnl`	Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
2021	A*	`conf`	STRIVE: Scene Text Replacement In Videos. ICCV Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala
2021	J	`jnl`	STRIVE: Scene Text Replacement In Videos. CoRR Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala
2020	J	`jnl`	Deep Retinal Image Segmentation With Regularization Under Geometric Priors. IEEE Trans. Image Process. Venkateswararao Cherukuri, Vijay Kumar B. G, Raja Bala, Vishal Monga
2020	J	`jnl`	Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention. CoRR Varnith Chordia, Vijay Kumar B. G
2019	B	`conf`	Multi-Scale Regularized Deep Network for Retinal Vessel Segmentation. ICIP Venkateswararao Cherukuri, Vijay Kumar B. G, Raja Bala, Vishal Monga
2018	J	`jnl`	Bayesian Semantic Instance Segmentation in Open Set World. CoRR Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
2017	A*	`conf`	DeepSetNet: Predicting Sets with Deep Neural Networks. ICCV Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
2017	A*	`conf`	Smart Mining for Deep Metric Learning. ICCV Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond
2016	J	`jnl`	DeepSetNet: Predicting Sets with Deep Neural Networks. CoRR Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
2016	A*	`conf`	Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid
2016	J	`jnl`	Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. CoRR Ravi Garg, Vijay Kumar B. G, Ian D. Reid