Search Results for author:
Found 22 papers, 6 papers with code
OCFormer: One-Class Transformer Network for Image Classification
We propose a novel deep learning framework based on Vision Transformers (ViT) for one-class classification.
ASOC: Adaptive Self-aware Object Co-localization
The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem.
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks.
Hater-O-Genius Aggression Classification using Capsule Networks
In this paper, we propose an end-to-end ensemble-based architecture to automatically identify and classify aggressive tweets.
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Traditional adversarial attacks rely upon the perturbations generated by gradients from the network which are generally safeguarded by gradient guided search to provide an adversarial counterpart to the network.
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments
We have curated a large, novel Indian heritage monuments dataset comprising of images of historical, cultural and religious importance with subtypes of eras, dynasties and architectural styles.
Multimedia
Aggression and Misogyny Detection using BERT: A Multi-Task Approach
In recent times, the focus of the NLP community has increased towards offensive language, aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared task on {``}Aggression Identification{''} (sub-task A) and {``}Misogynistic Aggression Identification{''} (sub-task B).
Attentional networks for music generation
Realistic music generation has always remained as a challenging problem as it may lack structure or rationality.
AnimePose: Multi-person 3D pose estimation and animation
3D animation of humans in action is quite challenging as it involves using a huge setup with several motion trackers all over the person's body to track the movements of every limb.
Aerial multi-object tracking by detection using deep association networks
Using the RetinaNet model as our base, we modify the anchor scales to better handle the detection of dense distribution and small size of the objects.
Multi-level Attention network using text, audio and video for Depression Prediction
This paper presents a novel multi-level attention based network for multi-modal depression prediction that fuses features from audio, video and text modalities while learning the intra and inter modality relevance.
A Light weight and Hybrid Deep Learning Model based Online Signature Verification
The augmented usage of deep learning-based models for various AI related problems are as a result of modern architectures of deeper length and the availability of voluminous interpreted datasets.
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics.
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
Extensive experiments on data sources obtained in Delhi demonstrate that the proposed adaptive attention based Bidirectional LSTM Network outperforms several baselines for classification and regression models.
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
In this paper, we present a novel end-to-end coupled Denoising based Saliency Prediction with Generative Adversarial Network (DSAL-GAN) framework to address the problem of salient object detection in noisy images.
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification
Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics.
Nrityantar: Pose oblivious Indian classical dance sequence classification system
To circumvent this problem, we construct a pose-oblivious shape signature which is fed to a sequence learning framework.
Object cosegmentation using deep Siamese network
Object cosegmentation addresses the problem of discovering similar objects from multiple images and segmenting them as foreground simultaneously.
Enhanced Characterness for Text Detection in the Wild
We show that a simple combination of characterness cues help in rejecting the non text regions.
Object Classification using Ensemble of Local and Deep Features
In this paper we propose an ensemble of local and deep features for object classification.
SalProp: Salient object proposals via aggregated edge cues
In this paper, we propose a novel object proposal generation scheme by formulating a graph-based salient edge classification framework that utilizes the edge context.
Benchmarking KAZE and MCM for Multiclass Classification
In this paper, we propose a novel approach for feature generation by appropriately fusing KAZE and SIFT features.
