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06/09/2023
Single-Stage Visual Relationship Learning using Conditional Queries
Research in scene graph generation (SGG) usually considers two-stage mod...
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04/18/2023
SViTT: Temporal Learning of Sparse Video-Text Transformers
Do video-text transformers learn to model temporal relationships across ...
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04/03/2023
Unbiased Scene Graph Generation in Videos
The task of dynamic scene graph generation (SGG) from videos is complica...
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07/15/2022
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
Active speaker detection (ASD) in videos with multiple speakers is a cha...
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04/05/2022
Text Spotting Transformers
In this paper, we present TExt Spotting TRansformers (TESTR), a generic ...
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12/18/2021
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs
Structured video representation in the form of dynamic scene graphs is a...
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12/02/2021
Learning Spatial-Temporal Graphs for Active Speaker Detection
We address the problem of active speaker detection through a new framewo...
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11/04/2021
Towards Panoptic 3D Parsing for Single Image in the Wild
Performing single image holistic understanding and 3D reconstruction is ...
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08/22/2021
Learning of Visual Relations: The Devil is in the Tails
Significant effort has been recently devoted to modeling visual relation...
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02/09/2021
SG2Caps: Revisiting Scene Graphs for Image Captioning
The mainstream image captioning models rely on Convolutional Neural Netw...
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05/13/2020
Structured Query-Based Image Retrieval Using Scene Graphs
A structured query can capture the complexity of object interactions (e....
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09/19/2019
Triplet-Aware Scene Graph Embeddings
Scene graphs have become an important form of structured knowledge for t...
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04/19/2019
Compact Scene Graphs for Layout Composition and Patch Retrieval
Structured representations such as scene graphs serve as an efficient an...
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01/23/2019
Toward Joint Image Generation and Compression using Generative Adversarial Networks
In this paper, we present a generative adversarial network framework tha...
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01/11/2019
Using Scene Graph Context to Improve Image Generation
Generating realistic images from scene graphs asks neural networks to be...
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12/06/2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
We present PartNet: a consistent, large-scale dataset of 3D objects anno...
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03/12/2018
Correction by Projection: Denoising Images with Generative Adversarial Networks
Generative adversarial networks (GANs) transform low-dimensional latent ...
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05/16/2017
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems
Deep convolutional Neural Networks (CNN) are the state-of-the-art perfor...
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04/04/2017
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation
Human keypoints are a well-studied representation of people.We explore h...
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02/15/2017
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Generative adversarial networks (GANs) transform latent vectors into vis...
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12/20/2016
A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems
We present a novel, automatic eye gaze tracking scheme inspired by smoot...
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01/20/2016
Detecting Temporally Consistent Objects in Videos through Object Class Label Propagation
Object proposals for detecting moving or static video objects need to ad...
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09/10/2015
Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map
Sign language recognition is important for natural and convenient commun...
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09/04/2015
Semantic Video Segmentation : Exploring Inference Efficiency
We explore the efficiency of the CRF inference beyond image level semant...
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07/01/2015