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09/21/2023
TCOVIS: Temporally Consistent Online Video Instance Segmentation
In recent years, significant progress has been made in video instance se...
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09/18/2023
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
World models, especially in autonomous driving, are trending and drawing...
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08/31/2023
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction
Semantic segmentation in autonomous driving has been undergoing an evolu...
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07/27/2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
With the overwhelming trend of mask image modeling led by MAE, generativ...
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07/04/2023
Embodied Task Planning with Large Language Models
Equipping embodied agents with commonsense is important for robots to su...
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05/30/2023
Towards Accurate Data-free Quantization for Diffusion Models
In this paper, we propose an accurate data-free post-training quantizati...
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05/05/2023
DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection
In this paper, we propose a new detection framework for 3D small object ...
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04/28/2023
Dense Hybrid Proposal Modulation for Lane Detection
In this paper, we present a dense hybrid proposal modulation (DHPM) meth...
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04/13/2023
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
In this paper, we propose an ultrafast automated model compression frame...
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04/11/2023
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Deep learning based fusion methods have been achieving promising perform...
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03/27/2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
In this paper, we propose binary sparse convolutional networks called BS...
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03/23/2023
Efficient Meshy Neural Fields for Animatable Human Avatars
Efficiently digitizing high-fidelity animatable human avatars from video...
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03/16/2023
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
3D scene understanding plays a vital role in vision-based autonomous dri...
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03/07/2023
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
Semantic occupancy perception is essential for autonomous driving, as au...
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03/03/2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Diffusion models (DMs) have become the new trend of generative models an...
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02/23/2023
Category-level Shape Estimation for Densely Cluttered Objects
Accurately estimating the shape of objects in dense clutters makes impor...
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02/15/2023
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
Modern methods for vision-centric autonomous driving perception widely a...
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02/09/2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Diffusion probabilistic models (DPMs) have demonstrated a very promising...
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01/11/2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud com...
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01/10/2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Talking head synthesis is a promising approach for the video production ...
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12/18/2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
Deep learning has revolutionized human society, yet the black-box nature...
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12/09/2022
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness acti...
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12/06/2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
With the rising industrial attention to 3D virtual modeling technology, ...
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11/17/2022
Cross-Modal Adapter for Text-Video Retrieval
Text-video retrieval is an important multi-modal learning task, where th...
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11/17/2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning
Object packing by autonomous robots is an im-portant challenge in wareho...
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11/15/2022
Probabilistic Deep Metric Learning for Hyperspectral Image Classification
This paper proposes a probabilistic deep metric learning (PDML) framewor...
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10/15/2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
In this paper, we investigate the dynamics-aware adversarial attack prob...
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10/12/2022
Token-Label Alignment for Vision Transformers
Data mixing strategies (e.g., CutMix) have shown the ability to greatly ...
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10/11/2022
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
The pretrain-finetune paradigm in modern computer vision facilitates the...
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08/22/2022
A Simple Baseline for Multi-Camera 3D Object Detection
3D object detection with surrounding cameras has been a promising direct...
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08/07/2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value
Explaining deep convolutional neural networks has been recently drawing ...
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08/04/2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Nowadays, pre-training big models on large-scale datasets has become a c...
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07/28/2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Recent progress in vision Transformers exhibits great success in various...
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07/25/2022
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Grasping in dense clutter is a fundamental skill for autonomous robots. ...
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07/24/2022
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
Talking head synthesis is an emerging technology with wide applications ...
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07/18/2022
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Objects are usually associated with multiple attributes, and these attri...
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07/17/2022
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Rapid progress and superior performance have been achieved for skeleton-...
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07/12/2022
MetaAge: Meta-Learning Personalized Age Estimators
Different people age in different ways. Learning a personalized age esti...
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07/04/2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks
In this paper, we present a new approach for model acceleration by explo...
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06/20/2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
In this paper, we propose a Shapley value based method to evaluate opera...
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06/06/2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
This paper presents a language-powered paradigm for ordinal regression. ...
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05/26/2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Conventional point cloud semantic segmentation methods usually employ an...
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05/19/2022
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
In this paper, we present BEVerse, a unified framework for 3D perception...
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05/09/2022
Introspective Deep Metric Learning
This paper proposes an introspective deep metric learning (IDML) framewo...
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05/05/2022
Gait Recognition in the Wild: A Benchmark
Gait benchmarks empower the research community to train and evaluate hig...
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04/21/2022
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate hig...
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04/12/2022
HyperDet3D: Learning a Scene-conditioned 3D Object Detector
A bathtub in a library, a sink in an office, a bed in a laundry room – t...
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04/07/2022
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
Most existing action quality assessment methods rely on the deep feature...
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04/07/2022
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
Depth estimation from images serves as the fundamental step of 3D percep...
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03/28/2022