Search Results for author:
Found 35 papers, 6 papers with code
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
Once the room poses are computed, room layouts are inferred using HorizonNet, and the floorplan is constructed by stitching the most confident layout boundaries.
iBARLE: imBalance-Aware Room Layout Estimation
iBARLE consists of (1) Appearance Variation Generation (AVG) module, which promotes visual appearance domain generalization, (2) Complex Structure Mix-up (CSMix) module, which enhances generalizability w. r. t.
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation
In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360$^\circ$ panoramas under upright-camera assumption.
U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary.
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360◦ Indoor Panoramas
We present CoVisPose, a new end-to-end supervised learning method for relative camera pose estimation in wide baseline 360 indoor panoramas.
LASER: LAtent SpacE Rendering for 2D Visual Localization
LASER introduces the concept of latent space rendering, where 2D pose hypotheses on the floor map are directly rendered into a geometrically-structured latent space by aggregating viewing ray features.
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas.
Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts
We present Zillow Indoor Dataset (ZInD): A large indoor dataset with 71, 474 panoramas from 1, 524 real unfurnished homes.
Polarimetric Helmholtz Stereopsis
Helmholtz stereopsis (HS) exploits the reciprocity principle of light propagation (i. e., the Helmholtz reciprocity) for 3D reconstruction of surfaces with arbitrary reflectance.
Depth Extraction from Video Using Non-parametric Sampling
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling.
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling.
Revealing Scenes by Inverting Structure from Motion Reconstructions
We present a privacy attack that reconstructs color images of the scene from the point cloud.
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights
We avoid the need for spatial constancy of albedo; instead, we use a new measure for albedo similarity that is based on the albedo norm profile.
Privacy Preserving Image-Based Localization
Current localization systems rely on the persistent storage of 3D point clouds of the scene to enable camera pose estimation, but such data reveals potentially sensitive scene information.
Privacy-Preserving Action Recognition using Coded Aperture Videos
We propose a lens-free coded aperture camera system for human action recognition that is privacy-preserving.
Automatic 3D Indoor Scene Modeling From Single Panorama
The recovered layout is then used to guide shape estimation of the remaining objects using their normal information.
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable.
Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Cinemagraphs are a compelling way to convey dynamic aspects of a scene.
Visual Attribute Transfer through Deep Image Analogy
We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure.
Semantic-driven Generation of Hyperlapse from $360^\circ$ Video
We present a system for converting a fully panoramic ($360^\circ$) video into a normal field-of-view (NFOV) hyperlapse for an optimal viewing experience.
Memory-augmented Attention Modelling for Videos
We present a method to improve video description generation by modeling higher-order interactions between video frames and described concepts.
Depth Recovery From Light Field Using Focal Stack Symmetry
The other is a data consistency measure based on analysis-by-synthesis, i. e., the difference between the synthesized focal stack given the hypothesized depth map and that from the LF.
Automatic Layer Separation using Light Field Imaging
We propose a novel approach that jointly removes reflection or translucent layer from a scene and estimates scene depth.
Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis
We first conduct a comprehensive analysis to characterize DDAR, infer object depth from its AR, and model recoverable depth range, sensitivity, and error.
A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics.
Ambient Occlusion via Compressive Visibility Estimation
This enables a sparsity-prior based solution for iteratively recovering the surface normal, the surface albedo, and the visibility function from a small number of images.
A Light Transport Model for Mitigating Multipath Interference in TOF Sensors
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics.
Image Pre-compensation: Balancing Contrast and Ringing
In particular, we show that linear tone mapping eliminates ringing but incurs severe contrast loss, while non-linear tone mapping functions such as Gamma curves slightly enhances contrast but introduces ringing.
Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras
Our bilateral consistency metric is used to indicate the probability of occlusions by analyzing the SCams.
A Learning-to-Rank Approach for Image Color Enhancement
We present a machine-learned ranking approach for automatically enhancing the color of a photograph.
Time-Mapping Using Space-Time Saliency
We describe a new approach for generating regular-speed, low-frame-rate (LFR) video from a high-frame-rate (HFR) input while preserving the important moments in the original.
Ranked #6 on
Video Salient Object Detection
on DAVSOD-Difficult20
(using extra training data)
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths
PatchGPs treat image patches as nodes and patch differences as edge weights for computing the shortest (geodesic) paths.
Learning the Change for Automatic Image Cropping
Image cropping is a common operation used to improve the visual quality of photographs.
Recovering Stereo Pairs from Anaglyphs
An anaglyph is a single image created by selecting complementary colors from a stereo color pair; the user can perceive depth by viewing it through color-filtered glasses.
