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09/21/2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
We present LongLoRA, an efficient fine-tuning approach that extends the ...
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08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
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06/28/2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
We introduce a new diffusion-based approach for shape completion on 3D r...
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06/27/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
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05/30/2023
Real-World Image Variation by Aligning Diffusion Inversion Chain
Recent diffusion model advancements have enabled high-fidelity images to...
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04/22/2023
Self-supervised Learning by View Synthesis
We present view-synthesis autoencoders (VSA) in this paper, which is a s...
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04/15/2023
TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
Recent success of Contrastive Language-Image Pre-training (CLIP) has sho...
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03/29/2023
TriVol: Point Cloud Rendering via Triple Volumes
Existing learning-based methods for point cloud rendering adopt various ...
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03/29/2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
Synthesizing photo-realistic images from a point cloud is challenging be...
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03/26/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
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03/22/2023
Spherical Transformer for LiDAR-based 3D Recognition
LiDAR-based 3D point cloud recognition has benefited various application...
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03/21/2023
Learning Context-aware Classifier for Semantic Segmentation
Semantic segmentation is still a challenging task for parsing diverse co...
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03/20/2023
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
3D object detectors usually rely on hand-crafted proxies, e.g., anchors ...
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03/08/2023
Video-P2P: Video Editing with Cross-attention Control
This paper presents Video-P2P, a novel framework for real-world video ed...
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03/01/2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer
We propose Stratified Image Transformer(StraIT), a pure non-autoregressi...
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02/06/2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
The core of out-of-distribution (OOD) detection is to learn the in-distr...
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01/03/2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
A recent study has shown a phenomenon called neural collapse in that the...
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12/21/2022
What Makes for Good Tokenizers in Vision Transformer?
The architecture of transformers, which recently witness booming applica...
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12/11/2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Deep Neural Networks (DNNs) are vulnerable to the black-box adversarial ...
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12/06/2022
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields
Existing 3D scene stylization methods employ an arbitrary style referenc...
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09/26/2022
Generalized Parametric Contrastive Learning
In this paper, we propose the Generalized Parametric Contrastive Learnin...
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07/29/2022
End-to-end View Synthesis via NeRF Attention
In this paper, we present a simple seq2seq formulation for view synthesi...
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07/20/2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation in semantic segmentation has been raised ...
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07/12/2022
Tracking Objects as Pixel-wise Distributions
Multi-object tracking (MOT) requires detecting and associating objects t...
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07/05/2022
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Despite the quality improvement brought by the recent methods, video sup...
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07/04/2022
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
To facilitate video denoising research, we construct a compelling datase...
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06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
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06/02/2022
EfficientNeRF: Efficient Neural Radiance Fields
Neural Radiance Fields (NeRF) has been wildly applied to various tasks f...
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06/01/2022
Unifying Voxel-based Representation with Transformer for 3D Object Detection
In this work, we present a unified framework for multi-modality 3D objec...
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05/31/2022
Voxel Field Fusion for 3D Object Detection
In this work, we present a conceptually simple yet effective framework f...
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05/15/2022
Video Frame Interpolation with Transformer
Video frame interpolation (VFI), which aims to synthesize intermediate f...
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04/26/2022
Focal Sparse Convolutional Networks for 3D Object Detection
Non-uniformed 3D sparse data, e.g., point clouds or voxels in different ...
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04/06/2022
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Camera-based 3D object detectors are welcome due to their wider deployme...
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04/05/2022
Multi-View Transformer for 3D Visual Grounding
The 3D visual grounding task aims to ground a natural language descripti...
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03/29/2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Recent studies have shown the importance of modeling long-range interact...
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03/28/2022
Stratified Transformer for 3D Point Cloud Segmentation
3D point cloud segmentation has made tremendous progress in recent years...
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03/22/2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Deep neural networks perform poorly on heavily class-imbalanced datasets...
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03/02/2022
A Unified Query-based Paradigm for Point Cloud Understanding
3D point cloud understanding is an important component in autonomous dri...
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03/02/2022
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment
We revisit the one- and two-stage detector distillation tasks and presen...
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12/19/2021
On Efficient Transformer and Image Pre-training for Low-level Vision
Pre-training has marked numerous state of the arts in high-level compute...
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10/28/2021
Blending Anti-Aliasing into Vision Transformer
The transformer architectures, based on self-attention mechanism and con...
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10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
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09/28/2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
In this work, we revisit the prior mask guidance proposed in "Prior Guid...
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09/27/2021
Deep Structured Instance Graph for Distilling Object Detectors
Effectively structuring deep knowledge plays a pivotal role in transfer ...
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09/15/2021
Image Synthesis via Semantic Composition
In this paper, we present a novel approach to synthesize realistic image...
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08/30/2021
Exploring and Improving Mobile Level Vision Transformers
We study the vision transformer structure in the mobile level in this pa...
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08/17/2021
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
In this paper, we present a conceptually simple, strong, and efficient f...
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08/12/2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction
To synthesize a realistic action sequence based on a single human image,...
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07/26/2021
Parametric Contrastive Learning
In this paper, we propose Parametric Contrastive Learning (PaCo) to tack...
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06/27/2021
