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Yash Bhalgat
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2020 – today
- 2024
- [c11]Shuai Chen, Yash Bhalgat, Xinghui Li, Jia-Wang Bian, Kejie Li, Zirui Wang, Victor Adrian Prisacariu:
Neural Refinement for Absolute Pose Regression with Feature Synthesis. CVPR 2024: 20987-20996 - [c10]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. ECCV (59) 2024: 197-214 - [c9]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: 17983-17989 - [i21]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 abs/2403.06877 (2024) - [i20]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR abs/2403.10997 (2024) - [i19]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 abs/2405.10255 (2024) - [i18]Manan Shah, Yash Bhalgat:
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. CoRR abs/2405.11574 (2024) - [i17]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - [i16]Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Zirui Wang, Ming Cheng, Victor Adrian Prisacariu, Tristan Braud:
GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting. CoRR abs/2408.11085 (2024) - [i15]Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu:
Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. CoRR abs/2409.14677 (2024) - 2023
- [c8]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR 2023: 4958-4969 - [c7]Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS 2023 - [i14]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 abs/2303.10087 (2023) - [i13]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR abs/2306.04633 (2023) - 2022
- [c6]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: 806-822 - [c5]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV 2022: 2703-2713 - [i12]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 abs/2203.11933 (2022) - [i11]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR abs/2211.15107 (2022) - 2021
- [i10]Debasmit Das, Yash Bhalgat, Fatih Porikli:
Data-driven Weight Initialization with Sylvester Solvers. CoRR abs/2105.10335 (2021) - [i9]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR abs/2111.06500 (2021) - 2020
- [c4]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops 2020: 2978-2985 - [c3]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. NeurIPS 2020 - [i8]Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort:
Learned Threshold Pruning. CoRR abs/2003.00075 (2020) - [i7]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR abs/2004.09576 (2020) - [i6]Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. CoRR abs/2008.02454 (2020)
2010 – 2019
- 2019
- [c2]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 - [i5]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 abs/1909.11233 (2019) - [i4]Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak:
QKD: Quantization-aware Knowledge Distillation. CoRR abs/1911.12491 (2019) - 2018
- [c1]Yash Bhalgat, Jean Charléty, Laurent Duval:
Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks. ICASSP 2018: 1618-1622 - [i3]Yash Bhalgat:
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. CoRR abs/1810.00136 (2018) - [i2]Yash Bhalgat, Meet P. Shah, Suyash P. Awate:
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR abs/1812.11302 (2018) - 2016
- [i1]Yash Bhalgat, Mandar Kulkarni, Shirish Karande, Sachin Lodha:
Stamp processing with examplar features. CoRR abs/1609.05001 (2016)
Coauthor Index
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last updated on 2024-12-03 21:20 CET by the dblp team
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