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07/10/2023
Substance or Style: What Does Your Image Embedding Know?
Probes are small networks that predict properties of underlying data fro...
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06/02/2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Denoising diffusion probabilistic models have transformed image generati...
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03/16/2023
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
Humans excel at acquiring knowledge through observation. For example, we...
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05/31/2022
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Inverse rendering of an object under entirely unknown capture conditions...
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03/21/2022
What Makes RAFT Better Than PWC-Net?
How important are training details and datasets to recent optical flow m...
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02/10/2022
FILM: Frame Interpolation for Large Motion
We present a frame interpolation algorithm that synthesizes multiple int...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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11/30/2021
Pyramid Adversarial Training Improves ViT Performance
Aggressive data augmentation is a key component of the strong generaliza...
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05/06/2021
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Remarkable progress has been made in 3D reconstruction of rigid structur...
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04/29/2021
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for o...
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04/05/2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Prototype learning is extensively used for few-shot segmentation. Typica...
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03/29/2021
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
In this paper, we address the problem of building dense correspondences ...
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08/25/2020
Improving Deep Stereo Network Generalization with Geometric Priors
End-to-end deep learning methods have advanced stereo vision in recent y...
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07/20/2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
One central question for video action recognition is how to model motion...
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10/27/2019
SENSE: a Shared Encoder Network for Scene-flow Estimation
We introduce a compact network for holistic scene flow estimation, calle...
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08/18/2019
Image Formation Model Guided Deep Image Super-Resolution
We present a simple and effective image super-resolution algorithm that ...
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07/31/2019
Video Stitching for Linear Camera Arrays
Despite the long history of image and video stitching research, existing...
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06/13/2019
Unsupervised Video Interpolation Using Cycle Consistency
Learning to synthesize high frame rate videos via interpolation requires...
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04/10/2019
Pixel-Adaptive Convolutional Neural Networks
Convolutions are the fundamental building block of CNNs. The fact that t...
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10/23/2018
A Fusion Approach for Multi-Frame Optical Flow Estimation
To date, top-performing optical flow estimation methods only take pairs ...
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09/14/2018
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
We investigate two crucial and closely related aspects of CNNs for optic...
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07/26/2018
Superpixel Sampling Networks
Superpixels provide an efficient low/mid-level representation of image d...
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05/24/2018
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
We address the unsupervised learning of several interconnected problems ...
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05/14/2018
Learning Dual Convolutional Neural Networks for Low-Level Vision
In this paper, we propose a general dual convolutional neural network (D...
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04/12/2018
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Estimation of 3D motion in a dynamic scene from a temporal pair of image...
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02/22/2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
We present a network architecture for processing point clouds that direc...
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12/14/2017
Learning Binary Residual Representations for Domain-specific Video Streaming
We study domain-specific video streaming. Specifically, we target a stre...
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11/30/2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Given two consecutive frames, video interpolation aims at generating int...
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09/07/2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
We present a compact but effective CNN model for optical flow, called PW...
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07/26/2017
Cascaded Scene Flow Prediction using Semantic Segmentation
Given two consecutive frames from a pair of stereo cameras, 3D scene flo...
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03/12/2016
