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04/13/2023
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
We present NeRFVS, a novel neural radiance fields (NeRF) based method to...
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10/14/2021
Nuisance-Label Supervision: Robustness Improvement by Free Labels
In this paper, we present a Nuisance-label Supervision (NLS) module, whi...
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06/08/2021
Simulated Adversarial Testing of Face Recognition Models
Most machine learning models are validated and tested on fixed datasets....
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03/25/2021
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models
Part segmentations provide a rich and detailed part-level description of...
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11/30/2020
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
We propose an unsupervised vision-based system to estimate the joint con...
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12/17/2019
Learning from Synthetic Animals
Despite great success in human parsing, progress for parsing other defor...
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12/13/2019
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Activity classification has observed great success recently. The perform...
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12/09/2019
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Scene context is a powerful constraint on the geometry of objects within...
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12/08/2019
Zero-shot Recognition of Complex Action Sequences
Zero-shot video classification for fine-grained activity recognition has...
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12/03/2019
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
Despite the rapid growth in datasets for video activity, stable robust a...
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11/25/2019
Identifying Model Weakness with Adversarial Examiner
Machine learning models are usually evaluated according to the average c...
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05/20/2019
Patch-based 3D Human Pose Refinement
State-of-the-art 3D human pose estimation approaches typically estimate ...
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12/03/2018
Towards Accurate Task Accomplishment with Low-Cost Robotic Arms
Training a robotic arm to accomplish real-world tasks has been attractin...
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11/28/2018
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
Detecting semantic parts of an object is a challenging task in computer ...
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04/01/2018
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data
State-of-the-art techniques of artificial intelligence, in particular de...
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11/20/2017
Adversarial Attacks Beyond the Image Space
Generating adversarial examples is an intriguing problem and an importan...
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12/14/2016
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision
Stereo algorithm is important for robotics applications, such as quadcop...
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09/05/2016
