Yash Bhalgat

According to our database, Yash Bhalgat authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi

CoRR, 2024

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection.

Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matías Mattamala, Nived Chebrolu, Maurice F. Fallon

CoRR, 2024

2023

Refinement for Absolute Pose Regression with Neural Feature Synthesis.

Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, Zirui Wang, Victor Adrian Prisacariu

CoRR, 2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Light Touch Approach to Teaching Transformers Multi-view Geometry.

Yash Bhalgat, João F. Henriques, Andrew Zisserman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.

Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain

CoRR, 2022

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation.

John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.

Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Hannah Kirk, Aleksandar Shtedritski, Max Bain

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021

Data-driven Weight Initialization with Sylvester Solvers.

Debasmit Das, Yash Bhalgat, Fatih Porikli

CoRR, 2021

2020

Learned Threshold Pruning.

Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort

CoRR, 2020

Structured Convolutions for Efficient Neural Network Design.

Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

LSQ+: Improving low-bit quantization through learnable offsets and better initialization.

Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

QKD: Quantization-aware Knowledge Distillation.

Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak

CoRR, 2019

Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation.

Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra

Proceedings of the 15th Conference on Natural Language Processing, 2019

2018

Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks.

Yash Bhalgat, Meet P. Shah, Suyash P. Awate

CoRR, 2018

FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction.

Yash Bhalgat

CoRR, 2018

Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks.

Yash Bhalgat, Jean Charléty, Laurent Duval

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Stamp processing with examplar features.

Yash Bhalgat, Mandar Kulkarni, Shirish Karande, Sachin Lodha

CoRR, 2016