research
∙
09/03/2023
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
We tackle the problem of class incremental learning (CIL) in the realm o...
share
research
∙
08/22/2023
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning
Large-scale foundation models, such as CLIP, have demonstrated remarkabl...
research
∙
08/10/2023
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
Although deep learning models have shown impressive performance on super...
research
∙
08/08/2023
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
The emerging field of action prediction plays a vital role in various co...
research
∙
07/27/2023
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach
Holistic 3D human-scene reconstruction is a crucial and emerging researc...
research
∙
06/25/2023
Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck
In this research, we deal with the problem of visual question answering ...
research
∙
06/19/2023
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Hyperspectral image (HSI) classification is gaining a lot of momentum in...
research
∙
05/27/2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Dense regression is a widely used approach in computer vision for tasks ...
research
∙
04/12/2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP
In recent years, the success of large-scale vision-language models (VLMs...
research
∙
02/18/2023
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
Efficient road and building footprint extraction from satellite images a...
research
∙
02/18/2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
Large-scale foundation models (e.g., CLIP) have shown promising zero-sho...
research
∙
11/05/2022
Prototypical quadruplet for few-shot class incremental learning
Many modern computer vision algorithms suffer from two major bottlenecks...
research
∙
02/12/2022
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
We tackle the problem of image inpainting in the remote sensing domain. ...
research
∙
01/25/2022
Zero-Shot Sketch Based Image Retrieval using Graph Transformer
The performance of a zero-shot sketch-based image retrieval (ZS-SBIR) ta...
research
∙
01/17/2022
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
The efficacy of zero-shot sketch-based image retrieval (ZS-SBIR) models ...
research
∙
12/28/2021
FRIDA – Generative Feature Replay for Incremental Domain Adaptation
We tackle the novel problem of incremental unsupervised domain adaptatio...
research
∙
08/07/2021
A distillation based approach for the diagnosis of diseases
Presently, Covid-19 is a serious threat to the world at large. Efforts a...
research
∙
07/24/2021
Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions
As the field of remote sensing is evolving, we witness the accumulation ...
research
∙
07/18/2021
Federated Action Recognition on Heterogeneous Embedded Devices
Federated learning allows a large number of devices to jointly learn a m...
research
∙
04/20/2021
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
We propose a novel framework for cross-modal zero-shot learning (ZSL) in...
research
∙
10/25/2020
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification
Real-world scenarios pose several challenges to deep learning based comp...
research
∙
10/05/2020
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
We deal with the problem of generating textual captions from optical rem...
research
∙
09/10/2020
Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest
Detection of burn marks due to wildfires in inaccessible rain forests is...
research
∙
08/12/2020
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
Conventional existing retrieval methods in remote sensing (RS) are often...
research
∙
07/31/2020
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
In this paper, we propose a data-free method of extracting Impressions o...
research
∙
06/25/2020
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias
Recent works demonstrate the texture bias in Convolutional Neural Networ...
research
∙
05/20/2020
Discriminative Dictionary Design for Action Classification in Still Images and Videos
In this paper, we address the problem of action recognition from still i...
research
∙
05/09/2020
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning
Zero-shot Learning (ZSL) is a transfer learning technique which aims at ...
research
∙
05/01/2020
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Spiking Neural Networks (SNN) are energy-efficient computing architectur...
research
∙
04/06/2020
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Development of either drought-resistant or drought-tolerant varieties in...
research
∙
10/19/2019
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Hyperspectral Imagery (and Remote Sensing in general) captured from UAVs...
research
∙
08/28/2019
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification
We deal with the problem of information fusion driven satellite image/sc...
research
∙
04/09/2019
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
We address the problem of cross-modal information retrieval in the domai...
research
∙
08/04/2017
