9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR444 papers
- Institute for High Energy PhysicsES405 papers
- Stanford UniversityUS359 papers
- University of SouthamptonGB359 papers
- University College LondonGB358 papers
- University of MichiganUS356 papers
- Fermi National Accelerator LaboratoryUS350 papers
- University of ChicagoUS344 papers
- Ludwig-Maximilians-Universität MünchenDE323 papers
- University of Illinois Urbana-ChampaignUS315 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES312 papers
- The Ohio State UniversityUS305 papers
71 papers · 1 filter
Are We There Yet? Exploring the Capabilities of MLLMs in Assistive AI Applications
Shayon Dasgupta, Avijit Dasgupta, C. V. Jawahar
Multimodal Large Language Models (MLLMs) have redefined visual understanding by combining vision encoders with large-scale language models. This unified architecture enables strong…
AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification
Om Kathalkar, Nitin Nilesh, Sachin Chaudhari +1
Air pollution represents one of the most critical environmental and public health challenges globally, with traditional sensor-based monitoring systems facing significant scalabili…
Unveiling Text in Challenging Stone Inscriptions: A Character-Context-Aware Patching Strategy for Binarization
Pratyush Jena, Amal Joseph, Arnav Sharma +1
Binarization is a popular first step towards text extraction in historical artifacts. Stone inscription images pose severe challenges for binarization due to poor contrast between…
Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration
Siddharth Tourani, Jayaram Reddy, Sarvesh Thakur +3
With the rise in consumer depth cameras, a wealth of unlabeled RGB-D data has become available. This prompts the question of how to utilize this data for geometric reasoning of sce…
Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
Siddharth Tourani, Jayaram Reddy, Akash Kumbar +5
Dynamic scene rendering and reconstruction play a crucial role in computer vision and augmented reality. Recent methods based on 3D Gaussian Splatting (3DGS), have enabled accurate…
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg, Joseph K J, Vineeth N Balasubramanian +6
As extended reality (XR) is redefining how users interact with computing devices, research in human action recognition is gaining prominence. Typically, models deployed on immersiv…
ICPR 2024 Competition on Rider Intention Prediction
Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai +8
The recent surge in the vehicle market has led to an alarming increase in road accidents. This underscores the critical importance of enhancing road safety measures, particularly f…
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition
Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri +1
Contextual information plays a critical role in object recognition models within computer vision, where changes in context can significantly affect accuracy, underscoring models' d…
CLIP4Sketch: Enhancing Sketch to Mugshot Matching through Dataset Augmentation using Diffusion Models
Kushal Kumar Jain, Steve Grosz, Anoop M. Namboodiri +1
Forensic sketch-to-mugshot matching is a challenging task in face recognition, primarily hindered by the scarcity of annotated forensic sketches and the modality gap between sketch…
Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting
Shanthika Naik, Kunwar Singh, Astitva Srivastava +4
We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON). E…
Source-free Video Domain Adaptation by Learning from Noisy Labels
Avijit Dasgupta, C. V. Jawahar, Karteek Alahari
Despite the progress seen in classification methods, current approaches for handling videos with distribution shifts in source and target domains remain source-dependent as they re…
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
Cheng-You Lu, Peisen Zhou, Angela Xing +8
Advances in neural fields are enabling high-fidelity capture of the shape and appearance of dynamic 3D scenes. However, their capabilities lag behind those offered by conventional…
Reading Between the Lanes: Text VideoQA on the Road
George Tom, Minesh Mathew, Sergi Garcia +2
Text and signs around roads provide crucial information for drivers, vital for safe navigation and situational awareness. Scene text recognition in motion is a challenging problem,…
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja +2
The previous fine-grained datasets mainly focus on classification and are often captured in a controlled setup, with the camera focusing on the objects. We introduce the first Fine…
StyleTRF: Stylizing Tensorial Radiance Fields
Rahul Goel, Sirikonda Dhawal, Saurabh Saini +1
Stylized view generation of scenes captured casually using a camera has received much attention recently. The geometry and appearance of the scene are typically captured as neural…
ACLNet: An Attention and Clustering-based Cloud Segmentation Network
Dhruv Makwana, Subhrajit Nag, Onkar Susladkar +4
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images. ACLNet uses both deep neural network and machine learning (ML) algorithm to extract…
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects
Subhrajit Nag, Dhruv Makwana, Sai Chandra Teja R +2
As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since the manual inspection…
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay +2
This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use inte…
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains
Puneet Mangla, Shivam Chandhok, Vineeth N Balasubramanian +1
Recent progress towards designing models that can generalize to unseen domains (i.e domain generalization) or unseen classes (i.e zero-shot learning) has embarked interest towards…
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision
Gaurav Bhatt, Shivam Chandhok, Vineeth N Balasubramanian
A common problem with most zero and few-shot learning approaches is they suffer from bias towards seen classes resulting in sub-optimal performance. Existing efforts aim to utilize…
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam +4
With the growing interest in deep learning algorithms and computational design in the architectural field, the need for large, accessible and diverse architectural datasets increas…
Comprehensive Multi-Modal Interactions for Referring Image Segmentation
Kanishk Jain, Vineet Gandhi
We investigate Referring Image Segmentation (RIS), which outputs a segmentation map corresponding to the natural language description. Addressing RIS efficiently requires consideri…
Monocular Multi-Layer Layout Estimation for Warehouse Racks
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu +5
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this…
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation
Sindhu Hegde, Shankar Gangisetty
Point clouds, being the simple and compact representation of surface geometry of 3D objects, have gained increasing popularity with the evolution of deep learning networks for clas…