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07/11/2023
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Despite the impressive performance of recent unbiased Scene Graph Genera...
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04/04/2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Human evaluation is critical for validating the performance of text-to-i...
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02/14/2023
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation
Acquiring labeled 6D poses from real images is an expensive and time-con...
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01/16/2023
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix
Many computer vision applications require robust and efficient estimatio...
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01/03/2023
BS3D: Building-scale 3D Reconstruction from RGB-D Images
Various datasets have been proposed for simultaneous localization and ma...
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09/29/2022
Partially calibrated semi-generalized pose from hybrid point correspondences
In this paper we study the problem of estimating the semi-generalized po...
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08/09/2022
HRF-Net: Holistic Radiance Fields from Sparse Inputs
We present HRF-Net, a novel view synthesis method based on holistic radi...
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08/03/2022
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation
This paper presents an efficient symmetry-agnostic and correspondence-fr...
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03/30/2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Evaluation measures have a crucial impact on the direction of research. ...
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03/28/2022
Optimal Correction Cost for Object Detection Evaluation
Mean Average Precision (mAP) is the primary evaluation measure for objec...
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03/03/2022
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
We present LDP, a lightweight dense prediction neural architecture searc...
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03/02/2022
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
This paper proposes a universal framework, called OVE6D, for model-based...
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12/27/2021
Human View Synthesis using a Single Sparse RGB-D Input
Novel view synthesis for humans in motion is a challenging computer visi...
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08/25/2021
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
This paper presents a novel neural architecture search method, called Li...
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08/25/2021
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Deep neural networks have recently thrived on single image depth estimat...
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03/11/2021
Calibrated and Partially Calibrated Semi-Generalized Homographies
In this paper, we propose the first minimal solutions for estimating the...
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12/18/2020
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion
In this paper, we address the problem of fusing monocular depth estimati...
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11/29/2020
RGBD-Net: Predicting color and depth images for novel views synthesis
We address the problem of novel view synthesis from an unstructured set ...
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09/01/2020
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
The query-based moment retrieval is a problem of localising a specific c...
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07/17/2020
Computing stable resultant-based minimal solvers by hiding a variable
Many computer vision applications require robust and efficient estimatio...
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06/18/2020
Learning non-rigid surface reconstruction from spatio-temporal image patches
We present a method to reconstruct a dense spatio-temporal depth map of ...
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04/09/2020
Sequential Neural Rendering with Transformer
This paper address the problem of novel view synthesis by means of neura...
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04/06/2020
Guiding Monocular Depth Estimation Using Depth-Attention Volume
Recovering the scene depth from a single image is an ill-posed problem t...
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12/21/2019
A sparse resultant based method for efficient minimal solvers
Many computer vision applications require robust and efficient estimatio...
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04/10/2019
Predicting Novel Views Using Generative Adversarial Query Network
The problem of predicting a novel view of the scene using an arbitrary n...
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03/27/2019
Rethinking the Evaluation of Video Summaries
Video summarization is a technique to create a short skim of the origina...
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02/20/2019
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
Assigning a label to each pixel in an image, namely semantic segmentatio...
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11/23/2018
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks
This paper addresses the challenging problem of acquiring high-quality p...
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10/01/2018
Inertial-aided Motion Deblurring with Deep Networks
We propose an inertial-aided deblurring method that incorporates gyrosco...
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07/31/2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Mitosis count is an important biomarker for prognosis of various cancers...
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05/22/2018
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements
Many computer vision and image processing applications rely on local fea...
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04/24/2018
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement
Depth map fusion is an essential part in both stereo and RGB-D based 3-D...
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05/09/2017
Cell Tracking via Proposal Generation and Selection
Microscopy imaging plays a vital role in understanding many biological p...
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11/29/2016
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices
Structure from motion algorithms have an inherent limitation that the re...
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09/28/2016
Video Summarization using Deep Semantic Features
This paper presents a video summarization technique for an Internet vide...
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08/08/2016