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Found 13 papers, 4 papers with code
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals
Sound event detection (SED) is an active area of audio research that aims to detect the temporal occurrence of sounds.
Deep Metric Learning for Computer Vision: A Brief Overview
Objective functions that optimize deep neural networks play a vital role in creating an enhanced feature representation of the input data.
Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.
DIOR: Dataset for Indoor-Outdoor Reidentification -- Long Range 3D/2D Skeleton Gait Collection Pipeline, Semi-Automated Gait Keypoint Labeling and Baseline Evaluation Methods
Additionally, for outdoor long-range settings, we remove the dependency on motion capture systems and adopt a low-cost, hybrid 3D computer vision and learning pipeline with only 4 low-cost RGB cameras, successfully achieving precise skeleton labeling on far-away subjects, even when their height is limited to a mere 20-25 pixels within an RGB frame.
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
A combination of sparse and dense per-pixel objectives coupled with a uni-modal self-attention-based feature-fusion layer is applied to learn KP embeddings.
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic
We present a comprehensive study of chart visual question-answering(QA) task, to address the challenges faced in comprehending and extracting data from chart visualizations within documents.
Ranked #3 on
Chart Question Answering
on RealCQA
(using extra training data)
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
Face feature aggregation, which involves aggregating a set of N feature representations present in a template into a single global representation, plays a pivotal role in such recognition systems.
RidgeBase: A Cross-Sensor Multi-Finger Contactless Fingerprint Dataset
Contactless fingerprint matching using smartphone cameras can alleviate major challenges of traditional fingerprint systems including hygienic acquisition, portability and presentation attacks.
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal Embeddings
Cross-modal retrieval is a fundamental vision-language task with a broad range of practical applications.
Ranked #1 on
Cross-Modal Retrieval
on MSCOCO-1k
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identification
Person re-identification (re-ID) aims to retrieve images of the same identity from a gallery of person images across cameras and viewpoints.
Ranked #1 on
Person Re-Identification
on LTCC
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
Existing work in this area focuses on creating attention maps to capture the correlation between the two modalities to localize the source of the sound.
Article citation study: Context enhanced citation sentiment detection
For citation analysis, we developed eight datasets comprising citation sentences, which are manually annotated by us into three sentiment polarities viz.
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System
We present a feature aggregation architecture called Composite Appearance Network (CAN) to address the above problem.
