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09/18/2023
TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches
Transparent objects are common in daily life. However, depth sensing for...
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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) ...
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04/01/2023
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
We propose a method that trains a neural radiance field (NeRF) to encode...
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03/31/2023
Semi-Weakly Supervised Object Kinematic Motion Prediction
Given a 3D object, kinematic motion prediction aims to identify the mobi...
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03/30/2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
High-resolution images enable neural networks to learn richer visual rep...
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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 ...
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03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
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02/05/2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Mainstream 3D representation learning approaches are built upon contrast...
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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...
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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...
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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...
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11/25/2022
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
Learning descriptive 3D features is crucial for understanding 3D scenes ...
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10/17/2022
Morig: Motion-aware rigging of character meshes from point clouds
We present MoRig, a method that automatically rigs character meshes driv...
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09/01/2022
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
We propose AccoMontage2, a system capable of doing full-length song harm...
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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...
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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...
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06/04/2022
APES: Articulated Part Extraction from Sprite Sheets
Rigged puppets are one of the most prevalent representations to create 2...
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05/05/2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
This paper studies the problem of fixing malfunctional 3D objects. While...
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04/28/2022
Rotationally Equivariant 3D Object Detection
Rotation equivariance has recently become a strongly desired property in...
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03/13/2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation
Training a generalizable 3D part segmentation network is quite challengi...
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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...
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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...
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07/06/2021
Contrastive Multimodal Fusion with TupleInfoNCE
This paper proposes a method for representation learning of multimodal d...
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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...
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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...
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12/04/2020
Compositionally Generalizable 3D Structure Prediction
Single-image 3D shape reconstruction is an important and long-standing p...
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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...
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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...
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03/19/2020
Curriculum DeepSDF
When learning to sketch, beginners start with simple and flexible shapes...
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03/19/2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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12/26/2019
Category-Level Articulated Object Pose Estimation
This paper addresses the task of category-level pose estimation for arti...
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11/25/2019
StructEdit: Learning Structural Shape Variations
Learning to encode differences in the geometry and (topological) structu...
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08/01/2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
The ability to generate novel, diverse, and realistic 3D shapes along wi...
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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...
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01/03/2019
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
Surface-based geodesic topology provides strong cues for object semantic...
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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 ...
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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...
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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...
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11/22/2018
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Fitting geometric primitives to 3D point cloud data bridges a gap betwee...
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09/19/2018
Deep Part Induction from Articulated Object Pairs
Object functionality is often expressed through part articulation -- as ...
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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...
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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....
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05/04/2017
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories
We propose a method for converting geometric shapes into hierarchically ...
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12/15/2016
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Important high-level vision tasks such as human-object interaction, imag...
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12/02/2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
In this paper, we study the problem of semantic annotation on 3D models ...
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10/13/2016
Dialogue Session Segmentation by Embedding-Enhanced TextTiling
In human-computer conversation systems, the context of a user-issued utt...
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12/09/2015
ShapeNet: An Information-Rich 3D Model Repository
We present ShapeNet: a richly-annotated, large-scale repository of shape...
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11/26/2014