2024 Highlight Papers
324 papers found • Page 2 of 7
Cross-spectral Gated-RGB Stereo Depth Estimation
Samuel Brucker, Stefanie Walz, Mario Bijelic et al.
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti et al.
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
Tianhao Qi, Shancheng Fang, Yanze Wu et al.
Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
Xiao Zhang, David Yunis, Michael Maire
Dense Optical Tracking: Connecting the Dots
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Detours for Navigating Instructional Videos
Kumar Ashutosh, Zihui Xue, Tushar Nagarajan et al.
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
Dong Lao, Congli Wang, Alex Wong et al.
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
Yuming Gu, Hongyi Xu, You Xie et al.
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Hyunwoo Ryu, Jiwoo Kim, Hyunseok An et al.
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
Karran Pandey, Paul Guerrero, Matheus Gadelha et al.
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
Yuto Enyo, Ko Nishino
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim, Sangwoo Mo, Minkyu Kim et al.
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
Ling Lo, Cheng Yeo, Hong-Han Shuai et al.
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Muyang Li, Tianle Cai, Jiaxin Cao et al.
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
Cheng-You Lu, Peisen Zhou, Angela Xing et al.
Diversified and Personalized Multi-rater Medical Image Segmentation
Yicheng Wu, Xiangde Luo, Zhe Xu et al.
Domain Prompt Learning with Quaternion Networks
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
Don’t Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
Nicolas Dufour, Victor Besnier, Vicky Kalogeiton et al.
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew et al.
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
Linqi Zhou, Andy Shih, Chenlin Meng et al.
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments
Yusuke Takimoto, Hikari Takehara, Hiroyuki Sato et al.
Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
Hong Chen, Pei Yan, sihe xiang et al.
Dynamic LiDAR Re-simulation using Compositional Neural Fields
Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger et al.
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Tingting Zheng, Kui Jiang, Hongxun Yao
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
Chanyoung Kim, Woojung Han, Dayun Ju et al.
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Yuxi Wei, Zi Wang, Yifan Lu et al.
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
Yuwen Xiong, Zhiqi Li, Yuntao Chen et al.
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed
Yifan Wang, Xingyi He, Sida Peng et al.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Yunyang Xiong, Balakrishnan Varadarajan, Lemeng Wu et al.
Efficient Solution of Point-Line Absolute Pose
Petr Hruby, Timothy Duff, Marc Pollefeys
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
Sijie Cheng, Zhicheng Guo, Jingwen Wu et al.
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer et al.
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
Kai Xu, Ziwei Yu, Xin Wang et al.
Enhancing Vision-Language Pre-training with Rich Supervisions
Yuan Gao, Kunyu Shi, Pengkai Zhu et al.
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela et al.
Event-based Structure-from-Orbit
Ethan Elms, Yasir Latif, Tae Ha Park et al.
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu et al.
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
Yichi Zhang, Yinpeng Dong, Siyuan Zhang et al.
F3Loc: Fusion and Filtering for Floorplan Localization
Changan Chen, Rui Wang, Christoph Vogel et al.
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu et al.
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
Chris Rockwell, Nilesh Kulkarni, Linyi Jin et al.
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
Zhenyu Zhou, Defang Chen, Can Wang et al.
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Shijie Zhou, Haoran Chang, Sicheng Jiang et al.
Feedback-Guided Autonomous Driving
Jimuyang Zhang, Zanming Huang, Arijit Ray et al.
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
Jinglin Xu, Yijie Guo, Yuxin Peng
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models
Ao Luo, XIN LI, Fan Yang et al.
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
Feng Liang, Bichen Wu, Jialiang Wang et al.
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen, Wei Yang, Jan Kautz et al.
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen, Lin Gu, Dezhi Zheng et al.
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey