b'Li Yi'

research

∙ 09/18/2023

TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches

Transparent objects are common in daily life. However, depth sensing for...

0 Liuyu Bian, et al. ∙

research

∙ 08/19/2023

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Vision Language Models (VLMs), which extend Large Language Models (LLM) ...

0 Wenbo Hu, et al. ∙

research

∙ 04/01/2023

JacobiNeRF: NeRF Shaping with Mutual Information Gradients

We propose a method that trains a neural radiance field (NeRF) to encode...

0 Xiaomeng Xu, et al. ∙

research

∙ 03/31/2023

Semi-Weakly Supervised Object Kinematic Motion Prediction

Given a 3D object, kinematic motion prediction aims to identify the mobi...

0 Gengxin Liu, et al. ∙

research

∙ 03/30/2023

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer

High-resolution images enable neural networks to learn richer visual rep...

1 Xuanyao Chen, et al. ∙

research

∙ 03/20/2023

Controllable Ancient Chinese Lyrics Generation Based on Phrase Prototype Retrieving

Generating lyrics and poems is one of the essential downstream tasks in ...

0 Li Yi, et al. ∙

research

∙ 03/10/2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Human-centric perceptions include a variety of vision tasks, which have ...

0 Shixiang Tang, et al. ∙

research

∙ 02/05/2023

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Mainstream 3D representation learning approaches are built upon contrast...

7 Zekun Qi, et al. ∙

research

∙ 01/31/2023

When Source-Free Domain Adaptation Meets Learning with Noisy Labels

Recent state-of-the-art source-free domain adaptation (SFDA) methods hav...

0 Li Yi, et al. ∙

research

∙ 12/16/2022

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

The success of deep learning heavily relies on large-scale data with com...

1 Runpei Dong, et al. ∙

research

∙ 12/10/2022

Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning

Recent work on 4D point cloud sequences has attracted a lot of attention...

0 Zhuoyang Zhang, et al. ∙

research

∙ 11/25/2022

Language-Assisted 3D Feature Learning for Semantic Scene Understanding

Learning descriptive 3D features is crucial for understanding 3D scenes ...

0 Junbo Zhang, et al. ∙

research

∙ 10/17/2022

Morig: Motion-aware rigging of character meshes from point clouds

We present MoRig, a method that automatically rigs character meshes driv...

0 Zhan Xu, et al. ∙

research

∙ 09/01/2022

AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System

We propose AccoMontage2, a system capable of doing full-length song harm...

0 Li Yi, et al. ∙

research

∙ 07/30/2022

Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding

This paper proposes a 4D backbone for long-term point cloud video unders...

0 Hao Wen, et al. ∙

research

∙ 06/21/2022

BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios

Humans with an average level of social cognition can infer the beliefs o...

0 Jiafei Duan, et al. ∙

research

∙ 06/04/2022

APES: Articulated Part Extraction from Sprite Sheets

Rigged puppets are one of the most prevalent representations to create 2...

0 Zhan Xu, et al. ∙

research

∙ 05/05/2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

This paper studies the problem of fixing malfunctional 3D objects. While...

15 Yining Hong, et al. ∙

research

∙ 04/28/2022

Rotationally Equivariant 3D Object Detection

Rotation equivariance has recently become a strongly desired property in...

24 Hong-Xing Yu, et al. ∙

research

∙ 03/13/2022

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

Training a generalizable 3D part segmentation network is quite challengi...

0 Xueyi Liu, et al. ∙

research

∙ 03/03/2022

On Learning Contrastive Representations for Learning with Noisy Labels

Deep neural networks are able to memorize noisy labels easily with a sof...

0 Li Yi, et al. ∙

research

∙ 12/09/2021

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning

A critical aspect of human visual perception is the ability to parse vis...

28 Yining Hong, et al. ∙

research

∙ 07/06/2021

Contrastive Multimodal Fusion with TupleInfoNCE

This paper proposes a method for representation learning of multimodal d...

7 Yunze Liu, et al. ∙

research

∙ 12/24/2020

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding

Self-supervised representation learning is a critical problem in compute...

2 Yunze Liu, et al. ∙

research

∙ 12/08/2020

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Localizing the camera in a known indoor environment is a key building bl...

4 Siyan Dong, et al. ∙

research

∙ 12/04/2020

Compositionally Generalizable 3D Structure Prediction

Single-image 3D shape reconstruction is an important and long-standing p...

11 Songfang Han, et al. ∙

research

∙ 07/16/2020

Complete Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds

We study an unsupervised domain adaptation problem for the semantic labe...

0 Li Yi, et al. ∙

research

∙ 06/12/2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks

In this paper, we examine the long-neglected yet important effects of po...

11 He Wang, et al. ∙

research

∙ 03/19/2020

Curriculum DeepSDF

When learning to sketch, beginners start with simple and flexible shapes...

5 Yueqi Duan, et al. ∙

research

∙ 03/19/2020

SAPIEN: A SimulAted Part-based Interactive ENvironment

Building home assistant robots has long been a pursuit for vision and ro...

8 Fanbo Xiang, et al. ∙

research

∙ 12/26/2019

Category-Level Articulated Object Pose Estimation

This paper addresses the task of category-level pose estimation for arti...

8 Xiaolong Li, et al. ∙

research

∙ 11/25/2019

StructEdit: Learning Structural Shape Variations

Learning to encode differences in the geometry and (topological) structu...

11 Kaichun Mo, et al. ∙

research

∙ 08/01/2019

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

The ability to generate novel, diverse, and realistic 3D shapes along wi...

5 Kaichun Mo, et al. ∙

research

∙ 03/25/2019

CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss

We introduce CoSegNet, a deep neural network architecture for co-segment...

28 Chenyang Zhu, et al. ∙

research

∙ 01/03/2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Surface-based geodesic topology provides strong cues for object semantic...

0 Tong He, et al. ∙

research

∙ 12/08/2018

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

We introduce a novel 3D object proposal approach named Generative Shape ...

1 Li Yi, et al. ∙

research

∙ 12/06/2018

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

We present PartNet: a consistent, large-scale dataset of 3D objects anno...

8 Kaichun Mo, et al. ∙

research

∙ 11/30/2018

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

We introduce, TextureNet, a neural network architecture designed to extr...

0 Jingwei Huang, et al. ∙

research

∙ 11/22/2018

Supervised Fitting of Geometric Primitives to 3D Point Clouds

Fitting geometric primitives to 3D point cloud data bridges a gap betwee...

0 Lingxiao Li, et al. ∙

research

∙ 09/19/2018

Deep Part Induction from Articulated Object Pairs

Object functionality is often expressed through part articulation -- as ...

0 Li Yi, et al. ∙

research

∙ 10/17/2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

We introduce a large-scale 3D shape understanding benchmark using data a...

0 Li Yi, et al. ∙

research

∙ 06/07/2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Few prior works study deep learning on point sets. PointNet by Qi et al....

0 Charles R. Qi, et al. ∙

research

∙ 05/04/2017

Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

We propose a method for converting geometric shapes into hierarchically ...

0 Li Yi, et al. ∙

research

∙ 12/15/2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States

Important high-level vision tasks such as human-object interaction, imag...

0 Cewu Lu, et al. ∙

research

∙ 12/02/2016

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

In this paper, we study the problem of semantic annotation on 3D models ...

0 Li Yi, et al. ∙

research

∙ 10/13/2016

Dialogue Session Segmentation by Embedding-Enhanced TextTiling

In human-computer conversation systems, the context of a user-issued utt...

0 Yiping Song, et al. ∙

research

∙ 12/09/2015

ShapeNet: An Information-Rich 3D Model Repository

We present ShapeNet: a richly-annotated, large-scale repository of shape...

0 Angel X. Chang, et al. ∙

research

∙ 11/26/2014

3D-Assisted Image Feature Synthesis for Novel Views of an Object

Comparing two images in a view-invariant way has been a challenging prob...

0 Hao Su, et al. ∙

Li Yi

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