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Found 14 papers, 3 papers with code
Generalized Domain-Adaptive Dictionaries
Data-driven dictionaries have produced state-of-the-art results in various classification tasks.
Class Consistent Multi-Modal Fusion With Binary Features
Many existing recognition algorithms combine different modalities based on training accuracy but do not consider the possibility of noise at test time.
Synthesis-based Robust Low Resolution Face Recognition
Recognition of low resolution face images is a challenging problem in many practical face recognition systems.
Show and Recall: Learning What Makes Videos Memorable
With the explosion of video content on the Internet, there is a need for research on methods for video analysis which take human cognition into account.
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
LEAF-QA being constructed from real-world sources, requires a novel architecture to enable question answering.
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis
We propose novel rewards to account for class imbalance and user feedback in the annotation interface, to improve the active learning method.
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
We propose TALISMAN, a novel framework for Targeted Active Learning or object detectIon with rare slices using Submodular MutuAl iNformation.
Low-light Image and Video Enhancement via Selective Manipulation of Chromaticity
For videos captured in the wild, we perform a user study to demonstrate the preference for our method in comparison to state-of-the-art approaches.
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
SALAD has three key benefits: (i) it is task-agnostic, and can be applied across various visual tasks such as classification, segmentation and detection; (ii) it can handle shifts in output label space from the pre-trained source network to the target domain; (iii) it does not require access to source data for adaptation.
Interactive Control over Temporal Consistency while Stylizing Video Streams
For stylization tasks, however, consistency control is an essential requirement as a certain amount of flickering adds to the artistic look and feel.
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms
We consider and propose a new problem of retrieving audio files relevant to multimodal design document inputs comprising both textual elements and visual imagery, e. g., birthday/greeting cards.
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning
We exploit context by pretraining our model with datasets of three tasks: news image captioning where the news article is the context, contextual visual entailment, and keyword extraction from the context.
STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering
Chart Question Answering (CQA) is the task of answering natural language questions about visualisations in the chart image.
DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
Linearly consuming (via scrolling or navigation through default table of content) these documents is time-consuming and challenging.
