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20172026
most citedCollapse by Conditioning: Training Class-conditional GANs with Limited Data

16 citations · 74 across the 117 of their papers we have counts for

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Showing 2022 · cs.CVShow all

10 papers · 2 filters

cs.CV2022★ 5 cited

Source-free Depth for Object Pop-out

Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan +5

Depth cues are known to be useful for visual perception. However, direct measurement of depth is often impracticable. Fortunately, though, modern learning-based methods offer promi…

cs.CV2022

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

Nikola Popovic, Danda Pani Paudel, Luc Van Gool

Novel view synthesis and 3D modeling using implicit neural field representation are shown to be very effective for calibrated multi-view cameras. Such representations are known to…

cs.CV2022

Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images

Yigit Baran Can, Alexander Liniger, Danda Pani Paudel +1

We study the problem of estimating 3D shape and pose of an object in terms of keypoints, from a single 2D image. The shape and pose are learned directly from images collected by ca…

cs.CV2022

Robust RGB-D Fusion for Saliency Detection

Zongwei Wu, Shriarulmozhivarman Gobichettipalayam, Brahim Tamadazte +3

Efficiently exploiting multi-modal inputs for accurate RGB-D saliency detection is a topic of high interest. Most existing works leverage cross-modal interactions to fuse the two s…

cs.CV2022★ 1 cited

Gradient Obfuscation Checklist Test Gives a False Sense of Security

Nikola Popovic, Danda Pani Paudel, Thomas Probst +1

One popular group of defense techniques against adversarial attacks is based on injecting stochastic noise into the network. The main source of robustness of such stochastic defens…

cs.CV2022★ 2 cited

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

Chuqiao Li, Zhiwu Huang, Danda Pani Paudel +4

There have been emerging a number of benchmarks and techniques for the detection of deepfakes. However, very few works study the detection of incrementally appearing deepfakes in t…