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11/15/2022
Local Magnification for Data and Feature Augmentation
In recent years, many data augmentation techniques have been proposed to...
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11/03/2022
Could Giant Pretrained Image Models Extract Universal Representations?
Frozen pretrained models have become a viable alternative to the pretrai...
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09/19/2022
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
We present a novel architecture for dense correspondence. The current st...
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07/22/2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
This paper presents a novel cost aggregation network, called Volumetric ...
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07/20/2022
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
We study the challenging problem of recovering detailed motion from a si...
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06/09/2022
Extreme Masking for Learning Instance and Distributed Visual Representations
The paper presents a scalable approach for learning distributed represen...
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04/19/2022
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
We propose an unsupervised method for 3D geometry-aware representation l...
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03/12/2022
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
Rolling shutter (RS) distortion can be interpreted as the result of pick...
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03/08/2022
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
This paper proposes a simple transfer learning baseline for sign languag...
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12/17/2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Semi-supervised action recognition is a challenging but important task d...
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11/22/2021
Towards Tokenized Human Dynamics Representation
For human action understanding, a popular research direction is to analy...
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11/11/2021
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
Humans can easily segment moving objects without knowing what they are. ...
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11/04/2021
Bootstrap Your Object Detector via Mixed Training
We introduce MixTraining, a new training paradigm for object detection t...
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09/09/2021
ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection
A common problem in the task of human-object interaction (HOI) detection...
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06/24/2021
Video Swin Transformer
The vision community is witnessing a modeling shift from CNNs to Transfo...
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06/04/2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Image-level contrastive representation learning has proven to be highly ...
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04/07/2021
Neural Articulated Radiance Field
We present Neural Articulated Radiance Field (NARF), a novel deformable ...
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03/25/2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
This paper presents a new vision Transformer, called Swin Transformer, t...
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02/16/2021
Instance Localization for Self-supervised Detection Pretraining
Prior research on self-supervised learning has led to considerable progr...
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02/04/2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
We present an end-to-end joint training framework that explicitly models...
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12/24/2020
Global Context Networks
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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11/19/2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Contrastive learning methods for unsupervised visual representation lear...
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07/18/2020
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Human poses that are rare or unseen in a training set are challenging fo...
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07/17/2020
Detecting Human-Object Interactions with Action Co-occurrence Priors
A common problem in human-object interaction (HOI) detection task is tha...
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07/16/2020
RepPoints V2: Verification Meets Regression for Object Detection
Verification and regression are two general methodologies for prediction...
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07/06/2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
A recent approach for object detection and human pose estimation is to r...
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06/11/2020
Disentangled Non-Local Neural Networks
The non-local block is a popular module for strengthening the context mo...
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06/11/2020
What makes instance discrimination good for transfer learning?
Unsupervised visual pretraining based on the instance discrimination pre...
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04/14/2020
Distilling Localization for Self-Supervised Representation Learning
For high-level visual recognition, self-supervised learning defines and ...
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03/19/2020
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
In the feature maps of CNNs, there commonly exists considerable spatial ...
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02/13/2020
Cross-Iteration Batch Normalization
A well-known issue of Batch Normalization is its significantly reduced e...
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12/24/2019
Dense RepPoints: Representing Visual Objects with Dense Point Sets
We present an object representation, called Dense RepPoints, for flexibl...
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12/19/2019
Instance-wise Depth and Motion Learning from Monocular Videos
We present an end-to-end joint training framework that explicitly models...
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11/17/2019
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
We present an unsupervised approach for factorizing object appearance in...
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11/15/2019
Single Image Reflection Removal through Cascaded Refinement
We address the problem of removing undesirable reflections from a single...
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09/16/2019
Learning Residual Flow as Dynamic Motion from Stereo Videos
We present a method for decomposing the 3D scene flow observed from a mo...
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09/16/2019
Visuomotor Understanding for Representation Learning of Driving Scenes
Dashboard cameras capture a tremendous amount of driving scene video eac...
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05/02/2019
DPSNet: End-to-end Deep Plane Sweep Stereo
Multiview stereo aims to reconstruct scene depth from images acquired by...
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04/25/2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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04/25/2019
Local Relation Networks for Image Recognition
The convolution layer has been the dominant feature extractor in compute...
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04/25/2019
RepPoints: Point Set Representation for Object Detection
Modern object detectors rely heavily on rectangular bounding boxes, such...
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04/11/2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Attention mechanisms have become a popular component in deep neural netw...
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03/27/2019
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing
We present a method for compositing virtual objects into a photograph su...
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02/10/2019
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
Irreversible visual impairment is often caused by primary angle-closure ...
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12/20/2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data
We study object recognition under the constraint that each object class ...
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11/27/2018
Deformable ConvNets v2: More Deformable, Better Results
The superior performance of Deformable Convolutional Networks arises fro...
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11/27/2018
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
Accurate detection and tracking of objects is vital for effective video ...
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11/17/2018
Explicit Pose Deformation Learning for Tracking Human Poses
We present a method for human pose tracking that learns explicitly about...
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10/29/2018
Recurrent Transformer Networks for Semantic Correspondence
We present recurrent transformer networks (RTNs) for obtaining dense cor...
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09/17/2018