research
∙
06/23/2023
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Current ASR systems are mainly trained and evaluated at the utterance le...
share
research
∙
03/29/2023
MaLP: Manipulation Localization Using a Proactive Scheme
Advancements in the generation quality of various Generative Models (GMs...
research
∙
11/25/2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Recent text-to-image diffusion models are able to generate convincing re...
research
∙
04/07/2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
Videos are created to express emotion, exchange information, and share e...
research
∙
03/29/2022
Proactive Image Manipulation Detection
Image manipulation detection algorithms are often trained to discriminat...
research
∙
06/15/2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
State-of-the-art (SOTA) Generative Models (GMs) can synthesize photo-rea...
research
∙
03/29/2021
A Multiplexed Network for End-to-End, Multilingual OCR
Recent advances in OCR have shown that an end-to-end (E2E) training pipe...
research
∙
03/16/2021
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
Entity synonyms discovery is crucial for entity-leveraging applications....
research
∙
12/14/2020
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estima...
research
∙
12/08/2020
TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...
research
∙
09/28/2020
VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training
It is highly desirable yet challenging to generate image captions that c...
research
∙
05/22/2020
Hashing-based Non-Maximum Suppression for Crowded Object Detection
In this paper, we propose an algorithm, named hashing-based non-maximum ...
research
∙
04/13/2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations...
research
∙
11/26/2019
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
This paper studies face recognition (FR) and normalization in surveillan...
research
∙
04/09/2019
Gait Recognition via Disentangled Representation Learning
Gait, the walking pattern of individuals, is one of the most important b...
research
∙
03/23/2018
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data
Real-world face recognition datasets exhibit long-tail characteristics, ...
research
∙
06/26/2017
Illuminating Pedestrians via Simultaneous Detection & Segmentation
Pedestrian detection is a critical problem in computer vision with signi...
research
∙
05/31/2017
Representation Learning by Rotating Your Faces
The large pose discrepancy between two face images is one of the fundame...
research
∙
05/02/2015
