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09/07/2023
Tracking Anything with Decoupled Video Segmentation
Training data for video segmentation are expensive to annotate. This imp...
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08/18/2023
Long-range Multimodal Pretraining for Movie Understanding
Learning computer vision models from (and for) movies has a long-standin...
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07/29/2023
XMem++: Production-level Video Segmentation From Few Annotated Frames
Despite advancements in user-guided video segmentation, extracting compl...
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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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12/20/2022
Tracking by Associating Clips
The tracking-by-detection paradigm today has become the dominant method ...
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12/20/2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Scaling object taxonomies is one of the important steps toward a robust ...
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11/22/2022
Videogenic: Video Highlights via Photogenic Moments
This paper investigates the challenge of extracting highlight moments fr...
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11/22/2022
VideoMap: Video Editing in Latent Space
Video has become a dominant form of media. However, video editing interf...
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11/16/2022
A Generalized Framework for Video Instance Segmentation
Recently, handling long videos of complex and occluded sequences has eme...
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08/03/2022
Per-Clip Video Object Segmentation
Recently, memory-based approaches show promising results on semi-supervi...
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07/27/2022
One-Trimap Video Matting
Recent studies made great progress in video matting by extending the suc...
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07/20/2022
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Machine learning is transforming the video editing industry. Recent adva...
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06/09/2022
VITA: Video Instance Segmentation via Object Token Association
We introduce a novel paradigm for offline Video Instance Segmentation (V...
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01/10/2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
We propose an information-theoretic bias measurement technique through a...
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09/23/2021
Hierarchical Memory Matching Network for Video Object Segmentation
We present Hierarchical Memory Matching Network (HMMN) for semi-supervis...
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09/02/2021
Studying the Effects of Self-Attention for Medical Image Analysis
When the trained physician interprets medical images, they understand th...
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08/06/2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Dataset bias is a critical challenge in machine learning, and its negati...
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06/17/2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Temporal correspondence - linking pixels or objects across frames - is a...
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06/03/2021
APES: Audiovisual Person Search in Untrimmed Video
Humans are arguably one of the most important subjects in video streams,...
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05/30/2021
Polygonal Point Set Tracking
In this paper, we propose a novel learning-based polygonal point set tra...
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05/18/2021
Exemplar-Based Open-Set Panoptic Segmentation Network
We extend panoptic segmentation to the open-world and introduce an open-...
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06/19/2020
Video Panoptic Segmentation
Panoptic segmentation has become a new standard of visual recognition ta...
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05/20/2020
Active Speakers in Context
Current methods for active speak er detection focus on modeling short-te...
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05/08/2020
History for Visual Dialog: Do we really need it?
Visual Dialog involves "understanding" the dialog history (what has been...
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03/20/2020
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
We propose a novel memory-based tracker via part-level dense memory and ...
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08/23/2019
Onion-Peel Networks for Deep Video Completion
We propose the onion-peel networks for video completion. Given a set of ...
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05/30/2019
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting
We propose a novel feed-forward network for video inpainting. We use a s...
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05/20/2019
Learning Video Representations from Correspondence Proposals
Correspondences between frames encode rich information about dynamic con...
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05/08/2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Blind video decaptioning is a problem of automatically removing text ove...
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05/05/2019
Deep Video Inpainting
Video inpainting aims to fill spatio-temporal holes with plausible conte...
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04/22/2019
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
We present a deep learning method for the interactive video object segme...
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04/01/2019
Video Object Segmentation using Space-Time Memory Networks
We propose a novel solution for semi-supervised video object segmentatio...
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09/21/2018
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
We study the problem of learning a generalizable action policy for an in...
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08/07/2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
While machine learning approaches to visual emotion recognition offer gr...
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07/17/2018
CBAM: Convolutional Block Attention Module
We propose Convolutional Block Attention Module (CBAM), a simple yet eff...
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07/17/2018
BAM: Bottleneck Attention Module
Recent advances in deep neural networks have been developed via architec...
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04/12/2018
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
Learning-based color enhancement approaches typically learn to map from ...
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02/24/2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
Deep reinforcement learning (DRL) demonstrates its potential in learning...
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09/29/2017
Photometric Stabilization for Fast-forward Videos
Videos captured by consumer cameras often exhibit temporal variations in...
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08/24/2017
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms
We introduce a novel method to automatically adjust camera exposure for ...
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12/22/2016
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Indoor scene understanding is central to applications such as robot navi...
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12/20/2016
Action-Driven Object Detection with Top-Down Visual Attentions
A dominant paradigm for deep learning based object detection relies on a...
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03/24/2016
Fine-scale Surface Normal Estimation using a Single NIR Image
We present surface normal estimation using a single near infrared (NIR) ...
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11/12/2015
Automatic Content-Aware Color and Tone Stylization
We introduce a new technique that automatically generates diverse, visua...
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06/25/2015
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
We present a novel detection method using a deep convolutional neural ne...
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12/04/2014
