S. Raman

InscriptionOCR: A Dataset and Method for Understanding Inscriptions

Jaidev Sanjay Khalane, Akbar Ali, V. N. Prabhakar +1

Ancient script image restoration is a fundamental problem in computer vision, as it directly affects the reliable analysis and interpretation of historical documents and inscriptio…

Stabilizing Camera-Controlled Novel View Synthesis at Inference Time

Prajwal Singh, Arjun Badola, Seema Kumari +2

Training-free, camera-controlled novel view synthesis from a single image using pre-trained video diffusion models often becomes unstable under large camera motion and long generat…

Differentiable Packing of Irregular 3D Objects with Adaptive Container Estimation

Palak Gupta, Shanmuganathan Raman

Most existing approaches either fix the container in advance or optimize only a single container dimension through an outer search loop, leaving the remaining dimensions as a manua…

FlowIID: Single-Step Intrinsic Image Decomposition via Latent Flow Matching

Mithlesh Singla, Seema Kumari, Shanmuganathan Raman

Intrinsic Image Decomposition (IID) separates an image into albedo and shading components. It is a core step in many real-world applications, such as relighting and material editin…

UnCageNet: Tracking and Pose Estimation of Caged Animal

Sayak Dutta, Harish Katti, Shashikant Verma +1

Animal tracking and pose estimation systems, such as STEP (Simultaneous Tracking and Pose Estimation) and ViTPose, experience substantial performance drops when processing images a…

COT-AD: Cotton Analysis Dataset

Akbar Ali, Mahek Vyas, Soumyaratna Debnath +7

This paper presents COT-AD, a comprehensive Dataset designed to enhance cotton crop analysis through computer vision. Comprising over 25,000 images captured throughout the cotton g…

SemFaceEdit: Semantic Face Editing on Generative Radiance Manifolds

Shashikant Verma, Shanmuganathan Raman

Despite multiple view consistency offered by 3D-aware GAN techniques, the resulting images often lack the capacity for localized editing. In response, generative radiance manifolds…

STEP: Simultaneous Tracking and Estimation of Pose for Animals and Humans

Shashikant Verma, Harish Katti, Soumyaratna Debnath +2

We introduce STEP, a novel framework utilizing Transformer-based discriminative model prediction for simultaneous tracking and estimation of pose across diverse animal species and…

L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild

Soumyaratna Debnath, Harish Katti, Shashikant Verma +1

While 2D pose estimation has advanced our ability to interpret body movements in animals and primates, it is limited by the lack of depth information, constraining its application…

BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning

Prajwal Singh, Gautam Vashishtha, Indra Deep Mastan +1

The success of deep learning in supervised fine-grained recognition for domain-specific tasks relies heavily on expert annotations. The Open-Set for fine-grained Self-Supervised Le…

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives

Prajwal Singh, Ashish Tiwari, Gautam Vashishtha +1

Neural radiance fields (NeRF) have revolutionized photorealistic rendering of novel views for 3D scenes. Despite their growing popularity and efficiency as 3D resources, NeRFs face…

LIPIDS: Learning-based Illumination Planning In Discretized (Light) Space for Photometric Stereo

Ashish Tiwari, Mihir Sutariya, Shanmuganathan Raman

Photometric stereo is a powerful method for obtaining per-pixel surface normals from differently illuminated images of an object. While several methods address photometric stereo w…

MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo

Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman

Photometric stereo typically demands intricate data acquisition setups involving multiple light sources to recover surface normals accurately. In this paper, we propose MERLiN, an…