Papers
4,428 papers found
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation
Tianyi Ma, Maoying Qiao
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Youngjun Jun, Jiwoo Park, Kyobin Choo et al.
Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video
Guiqiu Liao, Matjaz Jogan, Sai Koushik et al.
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation
Seunghwan Choi, Jooyeol Yun, Jeonghoon Park et al.
DisFlowEm : One-Shot Emotional Talking Head Generation using Disentangled Pose and Expression Flow-Guidance
Sanjana Sinha, Brojeshwar Bhowmick, Lokender Tiwari et al.
Distillation of Diffusion Features for Semantic Correspondence
Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu et al.
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
Jash Dalvi, Ali Dabouei, Gunjan Dhanuka et al.
Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation
Chen Liang, Weihua Chen, Xin Zhao et al.
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
Zhenyuan Dong, Sai Qian Zhang
DivAvatar: Diverse 3D Avatar Generation with a Single Prompt
Weijing Tao, Biwen Lei, Kunhao Liu et al.
Divergent Domains Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
Sharon Chokuwa, Muhammad Haris Khan
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
Nyle Siddiqui, Florinel Alin Croitoru, Gaurav Kumar Nayak et al.
D-LUT: Photorealistic Style Transfer via Diffusion Process
Mujing Li, Guanjie Wang, Xingguang Zhang et al.
DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification
Minghui Lin, Shu Wang, Xiang Wang et al.
DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation
Sheng Zhang, Jinge Wu, Junzhi Ning et al.
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov et al.
DocMatcher: Document Image Dewarping via Structural and Textual Line Matching
Felix Hertlein, Alexander Naumann, York Sure-Vetter
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
Wenhao Gu, Li Gu, Ziqiang Wang et al.
Domain Generalization using Large Pretrained Models with Mixture-of-Adapters
Gyuseong Lee, Wooseok Jang, Jinhyeon Kim et al.
Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection Across Domains
Geonu Lee, Yonghyun Jeong, Haneol Jang et al.
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He et al.
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models
Eman Ali, Sathira Silva, Muhammad Haris Khan
DragonTrack: Transformer-Enhanced Graphical Multi-Person Tracking in Complex Scenarios
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas
DragText: Rethinking Text Embedding in Point-Based Image Editing
Gayoon Choi, Taejin Jeong, Sujung Hong et al.
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models
Shwetha Ram, Tal Neiman, Qianli Feng et al.