Shengfeng He

Associate Professor

Singapore Management University

Singapore

Research Interests

Explore related searches

Professors in Computer Vision

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Shengfeng He is an Associate Professor at Singapore Management University, Singapore. His research interests encompass sketch recognition, neural human rendering, Gaussian segmentation, and domain adaptation. He has contributed to the field through recent articles that focus on advanced AI techniques, including training-free sketch extraction and integrated analysis of brain imaging genomics.

Articles (30)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (2)

Bailin Deng

Lecturer

Cardiff University

UNITED KINGDOM

View details

Jun Liu

Singapore University of Technology and Design

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Shengfeng He

Research Interests

Explore related searches

Contact this professor

About

Articles (30)

Sketch-SparseNet: Sparse convolution framework for sketch recognition

Delving Into Invisible Semantics for Generalized One-Shot Neural Human Rendering

Gaussian Prompter: Linking 2D Prompts for 3D Gaussian Segmentation

MixSA: Training-Free Reference-Based Sketch Extraction via Mixture-of-Self-Attention

Open-Set Mixed Domain Adaptation via Visual-Linguistic Focal Evolving

StyleGAN-: Extending StyleGAN to Arbitrary-Ratio Translation With StyleBook

Toward Diverse Tiny-Model Selection for Microcontrollers

Playing to the Strengths of High- and Low-Resolution Cues for Ultra-High Resolution Image Segmentation

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

Triadic temporal-semantic alignment for weakly-supervised video moment retrieval

Granular3D: Delving into multi-granularity 3D scene graph prediction

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection

Learning Nighttime Semantic Segmentation the Hard Way

Appearance-Preserved Portrait-to-Anime Translation via Proxy-Guided Domain Adaptation

3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image

DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition

Delving Into Important Samples of Semi-Supervised Old Photo Restoration: A New Dataset and Method

Delving into Multi-illumination Monocular Depth Estimation: A New Dataset and Method

DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond

Single-View View Synthesis with Self-rectified Pseudo-Stereo

Parsing-Conditioned Anime Translation: A New Dataset and Method

Pose- and Attribute-consistent Person Image Synthesis

DSDNet: Toward single image deraining with self-paced curricular dual stimulations

Contextual-assisted Scratched Photo Restoration

Edge Distraction-aware Salient Object Detection

Monocular Depth Estimation for Glass Walls with Context: A New Dataset and Method

Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning

Efficient Exploration in Crowds by Coupling Navigation Controller and Exploration Planner

Collaborators (2)

Bailin Deng

Jun Liu

Make your next move.