← Search

Jialun Liu

14 accepted papers

2026

A Wirelessly Powered Robotic Capsule Chain for Large Volume Gastrointestinal Liquid Sampling

ICRA 2026poster

Liquid sampling from the gastrointestinal (GI) tract offers significant diagnostic advantages. This study presents a novel magnetically actuated Robotic Capsule Chain (RCC) for large volume liquid sample collection within the GI tract. The RCC incorporates a wirelessly powered, on-demand motorized s…

Cited by 0Scholar
2026

Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context

CVPR 2026

Scene-consistent video generation aims to create videos that explore 3D scenes based on a camera trajectory. Previous methods rely on video generation models with external memory for consistency, or iterative 3D reconstruction and inpainting, which accumulate errors during inference due to incorrect

Cited by 0SourceScholar
2026

Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images

ICLR 2026poster

This paper presents Omni-View, which extends the unified multimodal understanding and generation to 3D scenes based on multiview images, exploring the principle that ``generation facilitates understanding". Consisting of understanding model, texture module, and geometry module, Omni-View jointly mod…

Cited by 0SourcecodeScholar
2026

Wirelessly Powered Zero Net Magnetic Torque Motor for Tissue Regenerating Robotic Implant

ICRA 2026poster

In biomedical engineering, robotic implants have shown new methods to restore and improve bodily function and regenerate tissue. A significant challenge with the design of these devices is to safely actuate them for weeks or months while they reside in a patient's body. The application of a rotating…

Cited by 0Scholar
2025

Auto-Regressively Generating Multi-View Consistent Images

ICCV 2025poster

Generating multi-view images from human instructions is crucial for 3D content creation. The primary challenges involve maintaining consistency across multiple views and effectively synthesizing shapes and textures under diverse conditions. In this paper, we propose the Multi-View AutoRegressive (MV…

2025

TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer

CVPR 2025poster

This paper introduces TexGarment, an efficient method for synthesizing high-quality, 3D-consistent garment textures in UV space. Traditional approaches based on 2D-to-3D mapping often suffer from 3D inconsistency, while methods learning from limited 3D data lack sufficient texture diversity. These l…

Cited by 0SourcePDFScholar
2025

TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting

CVPR 2025poster

Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps. Developing an effective and efficient algorithm that is capable of automatically generating high-quality PBR materials rather than RGB texture for 3D…

2024

TexOct: Generating Textures of 3D Models with Octree-based Diffusion

CVPR 2024poster

This paper focuses on synthesizing high-quality and complete textures directly on the surface of 3D models within 3D space. 2D diffusion-based methods face challenges in generating 2D texture maps due to the infinite possibilities of UV mapping for a given 3D mesh. Utilizing point clouds helps circu…

Cited by 1SourcePDFScholar
2024

Thermally-activated Biochemically-sustained Reactor for Soft Fluidic Actuation

ICRA 2024poster

Soft robots have shown remarkable distinct capabilities due to their high deformation. Recently increasing attention has been dedicated to developing fully soft robots to exploit their full potential, with a recognition that electronic powering may limit this achievement. Alternative powering source…

Cited by 0SourceScholar
2022

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

CVPR 2022poster

This paper tackles the cross-modality person re-identification (re-ID) problem by suppressing the modality discrepancy. In cross-modality re-ID, the query and gallery images are in different modalities. Given a training identity, the popular deep classification baseline shares the same proxy (i.e.,…

Cited by 178PDFScholar
2022

Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory

AAAI 2022technical

This paper considers deep visual recognition on long-tailed data. To make our method general, we tackle two applied scenarios, i.e. , deep classification and deep metric learning. Under the long-tailed data distribution, the most classes (i.e., tail classes) only occupy relatively few samples and ar…

Cited by 42SourcePDFScholar
2022

Origami Robot Self-folding by Magnetic Induction

IROS 2022poster

Inspired by the traditional art of paper folding, origami, autonomous production of 3D structures from 2D sheets can be achieved by the implementation of self-folding techniques. One technique to achieve such transformation is the usage of thermo-responsive smart materials such as self-folding polym…

Cited by 6SourceScholar
2020

Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective

CVPR 2020poster

This paper considers learning deep features from long-tailed data. We observe that in the deep feature space, the head classes and the tail classes present different distribution patterns. The head classes have a relatively large spatial span, while the tail classes have a significantly small spatia…

Cited by 287PDFScholar
2020

Magnetic Sensor Based Topographic Localization for Automatic Dislocation of Ingested Button Battery

ICRA 2020poster

A button battery accidentally ingested by a toddler or small child can cause severe damage to the stomach within a short period of time. Once a battery lands on the surface of the esophagus or stomach, it can run a current in the tissue and induce a chemical reaction resulting in injury. Following o…

Cited by 8SourceScholar