29 citations · 100 across the 19 of their papers we have counts for
19 papers
DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
Jiaqi Chen, Qinfu Xu, Liyuan Pan
Human Action Recognition (HAR) is a fundamental computer vision task with diverse real-world applications. Practical deployments often involve low-light environments and unconstrai…
Seeing Through Fog: Towards Fog-Invariant Action Recognition
Enqi Liu, Liyuan Pan, Zhi Gao +2
Foggy conditions are commonly encountered in real-world applications; however, existing action recognition approaches typically assume favorable weather and high-quality video inpu…
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
Weihua Liu, Jianhua Qiu, Said Boumaraf +5
In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. BENet enhances the detection of fake faces by addressing…
Event Camera Data Dense Pre-training
Yan Yang, Liyuan Pan, Liu Liu
This paper introduces a self-supervised learning framework designed for pre-training neural networks tailored to dense prediction tasks using event camera data. Our approach utiliz…
LCCo: Lending CLIP to Co-Segmentation
Xin Duan, Yan Yang, Liyuan Pan +1
This paper studies co-segmenting the common semantic object in a set of images. Existing works either rely on carefully engineered networks to mine the implicit semantic informatio…
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
Hao Yang, Liyuan Pan, Yan Yang +2
Recovering sharp images from dual-pixel (DP) pairs with disparity-dependent blur is a challenging task.~Existing blur map-based deblurring methods have demonstrated promising resul…
Event Camera Data Pre-training
Yan Yang, Liyuan Pan, Liu Liu
This paper proposes a pre-trained neural network for handling event camera data. Our model is a self-supervised learning framework, and uses paired event camera data and natural RG…
ISG: I can See Your Gene Expression
Yan Yang, LiYuan Pan, Liu Liu +1
This paper aims to predict gene expression from a histology slide image precisely. Such a slide image has a large resolution and sparsely distributed textures. These obstruct extra…
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
Yan Yang, Zakir Hossain, Khandaker Asif +3
De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data. Existing approaches for de novo analysis enumerate MS evidence…
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception
Ziwei Wang, Liyuan Pan, Yonhon Ng +2
Stereo camera systems play an important role in robotics applications to perceive the 3D world. However, conventional cameras have drawbacks such as low dynamic range, motion blur…
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
Liyuan Pan, Shah Chowdhury, Richard Hartley +3
The dual-pixel (DP) hardware works by splitting each pixel in half and creating an image pair in a single snapshot. Several works estimate depth/inverse depth by treating the DP pa…
Single Image Optical Flow Estimation with an Event Camera
Liyuan Pan, Miaomiao Liu, Richard Hartley
Event cameras are bio-inspired sensors that asynchronously report intensity changes in microsecond resolution. DAVIS can capture high dynamics of a scene and simultaneously output…
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation
Liyuan Pan, Yuchao Dai, Miaomiao Liu +2
Stereo videos for the dynamic scenes often show unpleasant blurred effects due to the camera motion and the multiple moving objects with large depth variations. Given consecutive b…
High Frame Rate Video Reconstruction based on an Event Camera
Liyuan Pan, Richard Hartley, Cedric Scheerlinck +3
Event-based cameras measure intensity changes (called `events') with microsecond accuracy under high-speed motion and challenging lighting conditions. With the `active pixel sensor…
Single Image Deblurring and Camera Motion Estimation with Depth Map
Liyuan Pan, Yuchao Dai, Miaomiao Liu
Camera shake during exposure is a major problem in hand-held photography, as it causes image blur that destroys details in the captured images.~In the real world, such blur is main…
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Liyuan Pan, Cedric Scheerlinck, Xin Yu +3
Event-based cameras can measure intensity changes (called `{\it events}') with microsecond accuracy under high-speed motion and challenging lighting conditions. With the active pix…
Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring
Liyuan Pan, Richard Hartley, Miaomiao Liu +1
The image blurring process is generally modelled as the convolution of a blur kernel with a latent image. Therefore, the estimation of the blur kernel is essentially important for…
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
Liyuan Pan, Yuchao Dai, Miaomiao Liu +1
We aim at predicting a complete and high-resolution depth map from incomplete, sparse and noisy depth measurements. Existing methods handle this problem either by exploiting variou…
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Liyuan Pan, Yuchao Dai, Miaomiao Liu +1
Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works t…