Yash Bhalgat

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Unsupervised Learning

Iterative Refinement

Medical Image Segmentation

Top Venues

Publications

Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR (2024)
Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon
SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection. CoRR (2024)
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
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR (2024)
Manan Shah, Yash Bhalgat
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. CoRR (2024)
Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon
SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection. ICRA (2024)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS (2023)
Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, Zirui Wang, Victor Adrian Prisacariu
Refinement for Absolute Pose Regression with Neural Feature Synthesis. CoRR (2023)
Yash Bhalgat, João F. Henriques, Andrew Zisserman
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR (2023)
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning. CoRR (2022)
John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV (2022)
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Hannah Kirk, Aleksandar Shtedritski, Max Bain
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning. AACL/IJCNLP (1) (2022)
Yash Bhalgat, João F. Henriques, Andrew Zisserman
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR (2022)
John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR (2021)
Debasmit Das, Yash Bhalgat, Fatih Porikli
Data-driven Weight Initialization with Sylvester Solvers. CoRR (2021)
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops (2020)
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR (2020)
Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli
Structured Convolutions for Efficient Neural Network Design. NeurIPS (2020)
Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort
Learned Threshold Pruning. CoRR (2020)
Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli
Structured Convolutions for Efficient Neural Network Design. CoRR (2020)
Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak
QKD: Quantization-aware Knowledge Distillation. CoRR (2019)
Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. KONVENS (2019)
Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. CoRR (2019)
Yash Bhalgat, Meet Shah, Suyash P. Awate
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR (2018)
Yash Bhalgat
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. CoRR (2018)
Yash Bhalgat, Jean Charléty, Laurent Duval
Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks. ICASSP (2018)
Yash Bhalgat, Mandar Kulkarni, Shirish Subhash Karande, Sachin Lodha
Stamp processing with examplar features. CoRR (2016)