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07/26/2023
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Correlation based stereo matching has achieved outstanding performance, ...
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07/15/2023
INVE: Interactive Neural Video Editing
We present Interactive Neural Video Editing (INVE), a real-time video ed...
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03/14/2023
Implicit and Explicit Commonsense for Multi-sentence Video Captioning
Existing dense or paragraph video captioning approaches rely on holistic...
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02/16/2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Video understanding tasks take many forms, from action detection to visu...
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02/14/2023
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline
Methods for object detection and segmentation often require abundant ins...
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02/02/2023
Self-Supervised Relation Alignment for Scene Graph Generation
The goal of scene graph generation is to predict a graph from an input i...
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01/03/2023
Vocabulary-informed Zero-shot and Open-set Learning
Despite significant progress in object categorization, in recent years, ...
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12/06/2022
Semantically Enhanced Global Reasoning for Semantic Segmentation
Recent advances in pixel-level tasks (e.g., segmentation) illustrate the...
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11/28/2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models
Neural architectures can be naturally viewed as computational graphs. Mo...
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11/23/2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
There has been a recent explosion of impressive generative models that c...
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10/24/2022
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge
There has been a growing interest in solving Visual Question Answering (...
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10/04/2022
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices
Stress is considered to be the epidemic of the 21st-century. Yet, mobile...
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07/27/2022
Iterative Scene Graph Generation
The task of scene graph generation entails identifying object entities a...
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07/21/2022
Generalizable Patch-Based Neural Rendering
Neural rendering has received tremendous attention since the advent of N...
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03/22/2022
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
Inspired by the success of self-supervised autoregressive representation...
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01/13/2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Modern deep learning requires large-scale extensively labelled datasets ...
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12/17/2021
Light Field Neural Rendering
Classical light field rendering for novel view synthesis can accurately ...
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11/24/2021
Layered Controllable Video Generation
We introduce layered controllable video generation, where we, without an...
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10/26/2021
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
The recent success of transformer models in language, such as BERT, has ...
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06/06/2021
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
As an important step towards visual reasoning, visual grounding (e.g., p...
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04/29/2021
Segmentation-grounded Scene Graph Generation
Scene graph generation has emerged as an important problem in computer v...
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03/25/2021
Weakly-supervised Audio-visual Sound Source Detection and Separation
Learning how to localize and separate individual object sounds in the au...
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03/03/2021
Energy-Based Learning for Scene Graph Generation
Traditional scene graph generation methods are trained using cross-entro...
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11/04/2020
An Improved Attention for Visual Question Answering
We consider the problem of Visual Question Answering (VQA). Given an ima...
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08/28/2020
Person-in-Context Synthesiswith Compositional Structural Space
Despite significant progress, controlled generation of complex images wi...
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08/27/2020
Attribute-guided image generation from layout
Recent approaches have achieved great success in image generation from s...
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06/25/2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Unsupervised multi-object scene decomposition is a fast-emerging problem...
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06/23/2020
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
In this study, we focus on the unsupervised domain adaptation problem wh...
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06/23/2020
Discriminative Feature Alignment: ImprovingTransferability of Unsupervised DomainAdaptation by Gaussian-guided LatentAlignment
In this study, we focus on the unsupervised domain adaptation problem wh...
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06/12/2020
Weakly-supervised Any-shot Object Detection
Methods for object detection and segmentation rely on large scale instan...
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04/02/2020
Consistent Multiple Sequence Decoding
Sequence decoding is one of the core components of most visual-lingual m...
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02/24/2020
Variational Hyper RNN for Sequence Modeling
In this work, we propose a novel probabilistic sequence model that excel...
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12/23/2019
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
Reconstruction of a 3D shape from a single 2D image is a classical compu...
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12/07/2019
Improved Few-Shot Visual Classification
Few-shot learning is a fundamental task in computer vision that carries ...
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12/05/2019
Zero-Shot Generation of Human-Object Interaction Videos
Generation of videos of complex scenes is an important open problem in c...
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11/29/2019
OptiBox: Breaking the Limits of Proposals for Visual Grounding
The problem of language grounding has attracted much attention in recent...
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10/21/2019
DwNet: Dense warp-based network for pose-guided human video generation
Generation of realistic high-resolution videos of human subjects is a ch...
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09/22/2019
Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
Multi-modal learning, particularly among imaging and linguistic modaliti...
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07/24/2019
LayoutVAE: Stochastic Scene Layout Generation from a Label Set
Recently there is an increasing interest in scene generation within the ...
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05/22/2019
AttentionRNN: A Structured Spatial Attention Mechanism
Visual attention mechanisms have proven to be integrally important const...
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04/05/2019
A Variational Auto-Encoder Model for Stochastic Point Processes
We propose a novel probabilistic generative model for action sequences. ...
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03/18/2019
Neural Sequential Phrase Grounding (SeqGROUND)
We propose an end-to-end approach for phrase grounding in images. Unlike...
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12/04/2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
We propose a generative approach to physics-based motion capture. Unlike...
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12/01/2018
Towards Traversing the Continuous Spectrum of Image Retrieval
Image retrieval is one of the most popular tasks in computer vision. How...
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11/28/2018
Image Generation from Layout
Despite significant recent progress on generative models, controlled gen...
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10/28/2018
Middle-Out Decoding
Despite being virtually ubiquitous, sequence-to-sequence models are chal...
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10/17/2018
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective
This paper studies the problem of domain division problem which aims to ...
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10/01/2018
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Inspired by the observation that humans are able to process videos effic...
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04/15/2018
Semantic Feature Augmentation in Few-shot Learning
A fundamental problem with few-shot learning is the scarcity of data in ...
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04/13/2018