Agglomerative Transformer for Human-Object Interaction Detection
Comments Accepted by ICCV'23
期刊&会议
ICCV
International Conference on Computer Vision · 会议 · Computer Vision
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
Comments ICCV 2023 accepted paper
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
Comments Accepted by ICCV 2023
Unsupervised Domain Adaptive Detection with Network Stability Analysis
Journal ref ICCV,2023
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
Comments Accepted to ICCV 2023
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
Comments Accepted by ICCV 2023
View Consistent Purification for Accurate Cross-View Localization
Comments Accepted for ICCV 2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Comments This work is accepted by the ICCV 2023. 14 pages
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
Comments ICCV'23 Workshops
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
Comments Accepted for ICCV 2023. Main Paper with Supplementary Material. Project Page: https://islab-ai.github.io/active-iccv2023/
3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
Comments Published in ICCV 2023. Code: https://github.com/TrepangCat/3D_Semantic_Subspace_Traverser
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Comments Accepted to ICCV 2023. Code and Models are publicly available at https://github.com/Luciennnnnnn/DualFormer
BlindHarmony: "Blind" Harmonization for MR Images via Flow model
Comments ICCV 2023 accepted. 9 pages and 5 Figures for manuscipt, supplementary included
Ablating Concepts in Text-to-Image Diffusion Models
Comments ICCV 2023. Project website: https://www.cs.cmu.edu/~concept-ablation/
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos
Comments ICCV 2023, Project page: https://seungjuhan.me/champagne
3D-aware Blending with Generative NeRFs
Comments ICCV 2023, Project page: https://blandocs.github.io/blendnerf
DETRs with Collaborative Hybrid Assignments Training
Comments ICCV 2023. Codes are available at https://github.com/Sense-X/Co-DETR
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
Comments ICCV 2023
Memory-and-Anticipation Transformer for Online Action Understanding
Comments ICCV 2023 Camera Ready
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Comments Accepted by ICCV 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
Comments Accepted by International Conference on Computer Vision (ICCV) 2023
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
Comments ICCV 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
Comments Accepted by ICCV 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
Comments Accepted at ICCV 2023; Project page: https://github.com/hanqingwangai/Dreamwalker
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression
Comments 8 pages (references do not count), Accepted at UnCV (Workshop on Uncertainty Quantification for Computer Vision at ICCV)
PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
Comments Presented at ICCV 2023. Project website: https://3dlg-hcvc.github.io/paris/
Efficient Neural PDE-Solvers using Quantization Aware Training
Comments Accepted at the ICCV 2023 Workshop on Resource Efficient Deep Learning for Computer Vision
XMem++: Production-level Video Segmentation From Few Annotated Frames
Comments Accepted to ICCV 2023. 18 pages, 16 figures
Supervised Homography Learning with Realistic Dataset Generation
Comments Accepted by ICCV 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Comments Accepted to ICCV 2023, Project Page: https://promptstyler.github.io/
