Yash Bhalgat - RankMe

38 papers A* 6A 1Misc 1Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do 3D Large Language Models Really Understand 3D Spatial Relationships? CoRR Xianzheng Ma, Tao Sun, Shuai Chen, Yash Bhalgat, Jindong Gu, Angel X. Chang, Iro Armeni, Iro Laina, Songyou Peng, Victor Adrian Prisacariu
2025	J	`jnl`	Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment. CoRR Zirui Wang, Yash Bhalgat, Ruining Li, Victor Adrian Prisacariu
2025	A*	`conf`	GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting. ICLR Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Ming Cheng, Zirui Wang, Victor Adrian Prisacariu, Tristan Braud
2025	J	`jnl`	Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence. CoRR Octave Mariotti, Zhipeng Du, Yash Bhalgat, Oisin Mac Aodha, Hakan Bilen
2025	—	`conf`	Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. 3DV Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu
2024	—	`conf`	3D-Aware Instance Segmentation and Tracking in Egocentric Videos. ACCV (3) Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2024	J	`jnl`	3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2024	J	`jnl`	GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting. CoRR Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Zirui Wang, Ming Cheng, Victor Adrian Prisacariu, Tristan Braud
2024	—	`conf`	N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. ECCV (59) Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2024	J	`jnl`	N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2024	A*	`conf`	Neural Refinement for Absolute Pose Regression with Feature Synthesis. CVPR Shuai Chen, Yash Bhalgat, Xinghui Li, Jia-Wang Bian, Kejie Li, Zirui Wang, Victor Adrian Prisacariu
2024	J	`jnl`	Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. CoRR Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu
2024	J	`jnl`	Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. CoRR Manan Shah, Yash Bhalgat
2024	A*	`conf`	SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection. ICRA Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon
2024	J	`jnl`	SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection. CoRR Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon
2024	J	`jnl`	When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
2023	A*	`conf`	A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR Yash Bhalgat, João F. Henriques, Andrew Zisserman
2023	A*	`conf`	Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
2023	J	`jnl`	Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
2023	J	`jnl`	Refinement for Absolute Pose Regression with Neural Feature Synthesis. CoRR Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, Zirui Wang, Victor Adrian Prisacariu
2022	J	`jnl`	A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR Yash Bhalgat, João F. Henriques, Andrew Zisserman
2022	—	`conf`	A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning. AACL/IJCNLP (1) Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Hannah Kirk, Aleksandar Shtedritski, Max Bain
2022	J	`jnl`	A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning. CoRR Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain
2022	A	`conf`	Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
2021	J	`jnl`	Data-driven Weight Initialization with Sylvester Solvers. CoRR Debasmit Das, Yash Bhalgat, Fatih Porikli
2021	J	`jnl`	Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
2020	—	`conf`	LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
2020	J	`jnl`	LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
2020	J	`jnl`	Learned Threshold Pruning. CoRR Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort
2020	A*	`conf`	Structured Convolutions for Efficient Neural Network Design. NeurIPS Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli
2020	J	`jnl`	Structured Convolutions for Efficient Neural Network Design. CoRR Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli
2019	J	`jnl`	QKD: Quantization-aware Knowledge Distillation. CoRR Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak
2019	—	`conf`	Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. KONVENS Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra
2019	J	`jnl`	Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. CoRR Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra
2018	J	`jnl`	Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR Yash Bhalgat, Meet P. Shah, Suyash P. Awate
2018	Misc	`conf`	Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks. ICASSP Yash Bhalgat, Jean Charléty, Laurent Duval
2018	J	`jnl`	FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. CoRR Yash Bhalgat
2016	J	`jnl`	Stamp processing with examplar features. CoRR Yash Bhalgat, Mandar Kulkarni, Shirish Karande, Sachin Lodha