Stamp processing with examplar features. - Yash Bhalgat; Mandar Kulkarni; Shirish Karande 001; Sachin Lodha (CoRR, 2016)

Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks. - Yash Bhalgat; Jean Charléty; Laurent Duval (ICASSP, 2018)

FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. - Yash Bhalgat (CoRR, 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)

Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. - Yash Bhalgat; Zhe Liu 002; Pritam Gundecha; Jalal Mahmud; Amita Misra (KONVENS, 2019)

QKD: Quantization-aware Knowledge Distillation. - Jangho Kim; Yash Bhalgat; Jinwon Lee; Chirag Patel; Nojun Kwak (CoRR, 2019)

LSQ+: Improving low-bit quantization through learnable offsets and better initialization. - Yash Bhalgat; Jinwon Lee; Markus Nagel; Tijmen Blankevoort; Nojun Kwak (CVPR Workshops, 2020)

Structured Convolutions for Efficient Neural Network Design. - Yash Bhalgat; Yizhe Zhang 001; Jamie Menjay Lin; Fatih Porikli (NeurIPS, 2020)

Learned Threshold Pruning. - Kambiz Azarian; Yash Bhalgat; Jinwon Lee; Tijmen Blankevoort (CoRR, 2020)

Data-driven Weight Initialization with Sylvester Solvers. - Debasmit Das; Yash Bhalgat; Fatih Porikli (CoRR, 2021)

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 (AACL/IJCNLP (1), 2022)

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. - John Yang 001; Yash Bhalgat; Simyung Chang; Fatih Porikli; Nojun Kwak (WACV, 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)

A Light Touch Approach to Teaching Transformers Multi-view Geometry. - Yash Bhalgat; João F. Henriques; Andrew Zisserman (CVPR, 2023)

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. - Yash Bhalgat; Iro Laina; João F. Henriques; Andrea Vedaldi; Andrew Zisserman (NeurIPS, 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)

3D-Aware Instance Segmentation and Tracking in Egocentric Videos. - Yash Bhalgat; Vadim Tschernezki; Iro Laina; João F. Henriques; Andrea Vedaldi; Andrew Zisserman (ACCV (3), 2024)

Neural Refinement for Absolute Pose Regression with Feature Synthesis. - Shuai Chen; Yash Bhalgat; Xinghui Li; Jia-Wang Bian; Kejie Li; Zirui Wang; Victor Adrian Prisacariu (CVPR, 2024)

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. - Yash Bhalgat; Iro Laina; João F. Henriques; Andrew Zisserman; Andrea Vedaldi (ECCV (59), 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 (ICRA, 2024)

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. - Xianzheng Ma; Yash Bhalgat; Brandon Smart; Shuai Chen; Xinghui Li; Jian Ding 001; Jindong Gu; Dave Zhenyu Chen; Songyou Peng; Jia-Wang Bian; Philip H. S. Torr; Marc Pollefeys; et al. (CoRR, 2024)

Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. - Manan Shah; Yash Bhalgat (CoRR, 2024)

GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting. - Changkun Liu 001; Shuai Chen; Yash Bhalgat; Siyan Hu; Zirui Wang; Ming Cheng; Victor Adrian Prisacariu; Tristan Braud (CoRR, 2024)

Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. - Ankit Dhiman; Manan Shah; Rishubh Parihar; Yash Bhalgat; Lokesh R. Boregowda; R. Venkatesh Babu (3DV, 2025)

GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting. - Changkun Liu 001; Shuai Chen; Yash Bhalgat; Siyan Hu; Ming Cheng; Zirui Wang; Victor Adrian Prisacariu; Tristan Braud (ICLR, 2025)

Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence. - Octave Mariotti; Zhipeng Du; Yash Bhalgat; Oisin Mac Aodha; Hakan Bilen (CoRR, 2025)

Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment. - Zirui Wang; Yash Bhalgat; Ruining Li; Victor Adrian Prisacariu (CoRR, 2025)