Search Results for author:
Found 22 papers, 4 papers with code
Estimation of Camera Response Function using Prediction Consistency and Gradual Refinement with an Extension to Deep Learning
Second, we employ a gradual refinement scheme in which we start from a simple CRF model to generate a result which is more robust to noise but less accurate, and then we gradually increase the model's complexity to improve the result.
Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions
To address the problem, we introduce a network joining day/night translation and stereo.
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models
Many real-world video sequences cannot be conveniently categorized as general or degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or homography model for motion segmentation on video sequences would lead to difficulty.
Automatic Target Detection for Sparse Hyperspectral Images
The sparse component is directly used for the detection, that is, the targets are simply detected at the non-zero entries of the sparse target HSI.
Learning for Multi-Type Subspace Clustering
Subspace clustering has been extensively studied from the hypothesis-and-test, algebraic, and spectral clustering based perspectives.
Rolling-Shutter-Aware Differential SfM and Image Rectification
We demonstrate that the dense depth maps recovered from the relative pose of the RS camera can be used in a RS-aware warping for image rectification to recover high-quality Global Shutter (GS) images.
Learning for Multi-Model and Multi-Type Fitting
Multi-model fitting has been extensively studied from the random sampling and clustering perspectives.
Baseline Desensitizing In Translation Averaging
Many existing translation averaging algorithms are either sensitive to disparate camera baselines and have to rely on extensive preprocessing to improve the observed Epipolar Geometry graph, or if they are robust against disparate camera baselines, require complicated optimization to minimize the highly nonlinear angular error objective.
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization
We present a joint Structure-Stereo optimization model that is robust for disparity estimation under low-light conditions.
Robust Optical Flow in Rainy Scenes
Optical flow estimation in rainy scenes is challenging due to degradation caused by rain streaks and rain accumulation, where the latter refers to the poor visibility of remote scenes due to intense rainfall.
Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection
In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery.
Image and Video Processing Signal Processing
Motion Segmentation by Exploiting Complementary Geometric Models
Many real-world sequences cannot be conveniently categorized as general or degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or homography model for motion segmentation would lead to difficulty.
Ranked #1 on
Motion Segmentation
on KT3DMoSeg
Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network
Given a single input rainy image, our goal is to visually remove rain streaks and the veiling effect caused by scattering and transmission of rain streaks and rain droplets.
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery
Given a target prior information, our goal is to propose a method for automatically separating targets of interests from the background in hyperspectral imagery.
Two-stream Flow-guided Convolutional Attention Networks for Action Recognition
This paper proposes a two-stream flow-guided convolutional attention networks for action recognition in videos.
Action Recognition In Videos
Temporal Action Localization
+1
Direct Photometric Alignment by Mesh Deformation
The choice of motion models is vital in applications like image/video stitching and video stabilization.
Robust Optical Flow Estimation in Rainy Scenes
To handle rain accumulation, our method decomposes the image into a piecewise-smooth background layer and a high-frequency detail layer.
Simultaneous Clustering and Model Selection for Tensor Affinities
Estimating the number of clusters remains a difficult model selection problem.
Actionness-Assisted Recognition of Actions
We elicit from a fundamental definition of action low-level attributes that can reveal agency and intentionality.
Simultaneous Video Defogging and Stereo Reconstruction
We present a method to jointly estimate scene depth and recover the clear latent image from a foggy video sequence.
SCAMS: Simultaneous Clustering and Model Selection
While clustering has been well studied in the past decade, model selection has drawn less attention.
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization
Low-rank matrix completion is a problem of immense practical importance.
