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09/07/2023
ImageBind-LLM: Multi-modality Instruction Tuning
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
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09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
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08/15/2023
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 ha...
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07/03/2023
JourneyDB: A Benchmark for Generative Image Understanding
While recent advancements in vision-language models have revolutionized ...
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06/15/2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Recent text-to-image generative models can generate high-fidelity images...
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06/08/2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
This paper introduces a novel transformer-based network architecture, Fl...
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06/01/2023
DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation
We present DiffRoom, a novel framework for tackling the problem of high-...
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11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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09/19/2022
NeuralMarker: A Framework for Learning General Marker Correspondence
We tackle the problem of estimating correspondences from a general marke...
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08/29/2022
Towards Robust Face Recognition with Comprehensive Search
Data cleaning, architecture, and loss function design are important fact...
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08/10/2022
Learning Degradation Representations for Image Deblurring
In various learning-based image restoration tasks, such as image denoisi...
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08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
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07/19/2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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03/30/2022
FlowFormer: A Transformer Architecture for Optical Flow
We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...
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03/24/2022
MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection
Monocular 3D object detection has long been a challenging task in autono...
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01/12/2022
Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning
It is a challenging task to learn rich and multi-scale spatiotemporal se...
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01/11/2022
Pyramid Fusion Transformer for Semantic Segmentation
The recently proposed MaskFormer <cit.> gives a refreshed perspective on...
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12/04/2021
PointCLIP: Point Cloud Understanding by CLIP
Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...
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11/06/2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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09/06/2021
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
3D human shape and pose estimation is the essential task for human motio...
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01/31/2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
3D object detection is receiving increasing attention from both industry...
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08/04/2020
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
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10/15/2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Depth completion aims to recover dense depth maps from sparse depth meas...
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07/08/2019
Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
In this paper, we propose the part-aware and aggregation neural network ...
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12/11/2018
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
In this paper, we propose PointRCNN for 3D object detection from raw poi...
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10/19/2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
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09/11/2014
