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09/04/2023
Can I Trust Your Answer? Visually Grounded Video Question Answering
We study visually grounded VideoQA in response to the emerging trends of...
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08/25/2023
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture
We present HiFiHR, a high-fidelity hand reconstruction approach that uti...
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08/22/2023
Opening the Vocabulary of Egocentric Actions
Human actions in egocentric videos are often hand-object interactions co...
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07/31/2023
Every Mistake Counts in Assembly
One promising use case of AI assistants is to help with complex procedur...
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05/01/2023
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Direct mesh fitting for 3D hand shape reconstruction is highly accurate....
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04/29/2023
An Implicit Alignment for Video Super-Resolution
Video super-resolution commonly uses a frame-wise alignment to support t...
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02/27/2023
Contrastive Video Question Answering via Video Graph Transformer
We propose to perform video question answering (VideoQA) in a Contrastiv...
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01/25/2023
Bias-Compensated Integral Regression for Human Pose Estimation
In human and hand pose estimation, heatmaps are a crucial intermediate r...
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01/21/2023
Improving Deep Regression with Ordinal Entropy
In computer vision, it is often observed that formulating regression pro...
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12/20/2022
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation
Temporal action segmentation tags action labels for every frame in an in...
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11/24/2022
UV-Based 3D Hand-Object Reconstruction with Grasp Optimization
We propose a novel framework for 3D hand shape reconstruction and hand-o...
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10/19/2022
Temporal Action Segmentation: An Analysis of Modern Technique
Temporal action segmentation from videos aims at the dense labeling of v...
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08/05/2022
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
In image super-resolution, both pixel-wise accuracy and perceptual fidel...
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07/20/2022
A Generalized Robust Framework For Timestamp Supervision in Temporal Action Segmentation
In temporal action segmentation, Timestamp supervision requires only a h...
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07/20/2022
Discrete-Constrained Regression for Local Counting Models
Local counts, or the number of objects in a local area, is a continuous ...
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07/18/2022
Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation
We present a semi-supervised learning approach to the temporal action se...
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04/28/2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Multi-exit architectures consist of a backbone and branch classifiers th...
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04/07/2022
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates
We propose a novel approach to generate temporally coherent UV coordinat...
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04/06/2022
Multi-Scale Memory-Based Video Deblurring
Video deblurring has achieved remarkable progress thanks to the success ...
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03/28/2022
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Assembly101 is a new procedural activity dataset featuring 4321 videos o...
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02/28/2022
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
A standard hardware bottleneck when training deep neural networks is GPU...
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12/13/2021
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
This paper addresses the 3D point cloud reconstruction and 3D pose estim...
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12/12/2021
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
Video question answering requires the models to understand and reason ab...
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12/02/2021
Iterative Frame-Level Representation Learning And Classification For Semi-Supervised Temporal Action Segmentation
Temporal action segmentation classifies the action of each frame in (lon...
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11/15/2021
Weakly-Supervised Dense Action Anticipation
Dense anticipation aims to forecast future actions and their durations f...
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08/15/2021
Temporal Action Segmentation with High-level Complex Activity Labels
Over the past few years, the success in action recognition on short trim...
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08/02/2021
Reliable Semantic Segmentation with Superpixel-Mix
Along with predictive performance and runtime speed, reliability is a ke...
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07/26/2021
Efficient Video Object Segmentation with Compressed Video
We propose an efficient inference framework for semi-supervised video ob...
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06/14/2021
Learning Deep Morphological Networks with Neural Architecture Search
Deep Neural Networks (DNNs) are generated by sequentially performing lin...
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06/06/2021
Transformed ROIs for Capturing Visual Transformations in Videos
Modeling the visual changes that an action brings to a scene is critical...
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06/06/2021
Learning Video Models from Text: Zero-Shot Anticipation for Procedural Actions
Can we teach a robot to recognize and make predictions for activities th...
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06/06/2021
Technical Report: Temporal Aggregate Representations
This technical report extends our work presented in [9] with more experi...
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05/25/2021
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Convolutional neural networks (CNNs) are highly successful for super-res...
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05/23/2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network
Temporal convolutional networks (TCNs) are a commonly used architecture ...
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05/18/2021
NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions
We introduce NExT-QA, a rigorously designed video question answering (Vi...
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10/19/2020
Multi-Stage Fusion for One-Click Segmentation
Segmenting objects of interest in an image is an essential building bloc...
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10/18/2020
Localized Interactive Instance Segmentation
In current interactive instance segmentation works, the user is granted ...
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07/22/2020
Rethinking CNN Models for Audio Classification
In this paper, we show that ImageNet-Pretrained standard deep CNN models...
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06/01/2020
Temporal Aggregate Representations for Long Term Video Understanding
Future prediction requires reasoning from current and past observations ...
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04/20/2020
Towards deep neural network compression via learnable wavelet transforms
Wavelets are well known for data compression, yet have rarely been appli...
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03/30/2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
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12/13/2019
Bonn Activity Maps: Dataset Description
The key prerequisite for accessing the huge potential of current machine...
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07/24/2019
Dual Grid Net: hand mesh vertex regression from single depth maps
We present a method for recovering the dense 3D surface of the hand by r...
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12/13/2018
Fourier RNNs for Sequence Analysis and Prediction
Fourier methods have a long and proven track record in as an excellent t...
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12/10/2018
Supervised Deep Kriging for Single-Image Super-Resolution
We propose a novel single-image super-resolution approach based on the g...
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12/09/2018
Learning Style Compatibility for Furniture
When judging style, a key question that often arises is whether or not a...
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12/07/2018
Scale-aware multi-level guidance for interactive instance segmentation
In interactive instance segmentation, users give feedback to iteratively...
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12/06/2018
Zero-Shot Anticipation for Instructional Activities
How can we teach a robot to predict what will happen next for an activit...
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12/03/2018
Disentangling Latent Hands for Image Synthesis and Pose Estimation
Hand image synthesis and pose estimation from RGB images are both highly...
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10/25/2018