Search Results for author:
Found 24 papers, 9 papers with code
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches
Sketch-based image retrieval (SBIR) has been a popular research topic in recent years.
Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment
Learning 3D human motion from 2D inputs is a fundamental task in the realms of computer vision and computer graphics.
3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
Text-driven 3D scene generation techniques have made rapid progress in recent years.
Manifold Path Guiding for Importance Sampling Specular Chains
We verify that importance sampling the seed chain in the continuous space reaches the goal of importance sampling the discrete admissible specular chain.
A General Implicit Framework for Fast NeRF Composition and Rendering
Mainly, our work introduces a new surface representation known as Neural Depth Fields (NeDF) that quickly determines the spatial relationship between objects by allowing direct intersection computation between rays and implicit surfaces.
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer
Content affinity loss including feature and pixel affinity is a main problem which leads to artifacts in photorealistic and video style transfer.
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
Existing cross-modal contrastive representation learning (XM-CLR) methods such as CLIP are not fully suitable for multifold data as they only consider one positive pair and treat other pairs as negative when computing the contrastive loss.
General Virtual Sketching Framework for Vector Line Art
Vector line art plays an important role in graphic design, however, it is tedious to manually create.
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Three-dimensional face dense alignment and reconstruction in the wild is a challenging problem as partial facial information is commonly missing in occluded and large pose face images.
Ranked #1 on
3D Face Reconstruction
on AFLW2000-3D
View-Guided Point Cloud Completion
This paper presents a view-guided solution for the task of point cloud completion.
Ranked #3 on
Point Cloud Completion
on ShapeNet-ViPC
Event Stream Super-Resolution via Spatiotemporal Constraint Learning
Therefore, it is imperative to explore the algorithm of event stream super-resolution, which is a non-trivial task due to the sparsity and strong spatio-temporal correlation of the events from an event camera.
LapsCore: Language-Guided Person Search via Color Reasoning
The key point of language-guided person search is to construct the cross-modal association between visual and textual input.
Attention-based Multi-modal Fusion Network for Semantic Scene Completion
This paper presents an end-to-end 3D convolutional network named attention-based multi-modal fusion network (AMFNet) for the semantic scene completion (SSC) task of inferring the occupancy and semantic labels of a volumetric 3D scene from single-view RGB-D images.
Ranked #13 on
3D Semantic Scene Completion
on NYUv2
SketchyCOCO: Image Generation from Freehand Scene Sketches
We introduce the first method for automatic image generation from scene-level freehand sketches.
Ranked #2 on
Sketch-to-Image Translation
on SketchyCOCO
Language-based Colorization of Scene Sketches
Being natural, touchless, and fun-embracing, language-based inputs have been demonstrated effective for various tasks from image generation to literacy education for children.
Universal Physical Camouflage Attacks on Object Detectors
In this paper, we study physical adversarial attacks on object detectors in the wild.
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
More specifically, based on the relation score module, the point-single-view fusion feature is first extracted by fusing the point cloud feature and each single view feature with point-singe-view relation, then the point-multi-view fusion feature is extracted by fusing the point cloud feature and the features of different number of views with point-multi-view relation.
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested noisy scenes.
Ranked #2 on
Crowd Counting
on TRANCOS
Flexible Attributed Network Embedding
In this paper, we propose a novel framework, FANE, to integrate structure and property information in the network embedding process.
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
To bridge the gap between these two spaces in neural networks, we propose a neural line rasterization module to convert the vector sketch along with the attention estimated by RNN into a bitmap image, which is subsequently consumed by CNN.
LUCSS: Language-based User-customized Colourization of Scene Sketches
We introduce LUCSS, a language-based system for interactive col- orization of scene sketches, based on their semantic understanding.
SketchyScene: Richly-Annotated Scene Sketches
We contribute the first large-scale dataset of scene sketches, SketchyScene, with the goal of advancing research on sketch understanding at both the object and scene level.
Memory Attention Networks for Skeleton-based Action Recognition
Specifically, the TARM is deployed in a residual learning module that employs a novel attention learning network to recalibrate the temporal attention of frames in a skeleton sequence.
Ranked #89 on
Skeleton Based Action Recognition
on NTU RGB+D
Separation of Line Drawings Based on Split Faces for 3D Object Reconstruction
Reconstructing 3D objects from single line drawings is often desirable in computer vision and graphics applications.
