Poster Papers
24,624 papers found • Page 356 of 493
Conference
Diffusion Time-step Curriculum for One Image to 3D Generation
YI Xuanyu, Zike Wu, Qingshan Xu et al.
DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
Fei Xie, Zhongdao Wang, Chao Ma
Diffusive Gibbs Sampling
Wenlin Chen, Mingtian Zhang, Brooks Paige et al.
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Baochang Zhang, Zhi Qiao, Runkun Liu et al.
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall, Candace Ross, Adina Williams et al.
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing et al.
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen, Liuzhicheng Liuzhicheng, Xutao Wang et al.
DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency
Heng Guo, Jieji Ren, Feishi Wang et al.
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
Licheng Wen, DAOCHENG FU, Xin Li et al.
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati, Minh Pham, Nasla Saleem et al.
DIM: Dyadic Interaction Modeling for Social Behavior Generation
Minh Tran, Di Chang, Maksim Siniukov et al.
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
Sidi Lu, Wenbo Zhao, Chenyang Tao et al.
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video
Narek Tumanyan, Assaf Singer, Shai Bagon et al.
DIOD: Self-Distillation Meets Object Discovery
Sandra Kara, Hejer AMMAR, Julien Denize et al.
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai, Jie ZHANG, Song Guo et al.
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion
Yuanxun Lu, Jingyang Zhang, Shiwei Li et al.
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
Qihao Liu, Yi Zhang, Song Bai et al.
Direct Distillation between Different Domains
Jialiang Tang, Shuo Chen, Gang Niu et al.
Directly Denoising Diffusion Models
Dan Zhang, Jingjing Wang, Feng Luo
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky et al.
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HeeSun Bae, Seungjae Shin, Byeonghu Na et al.
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stärk, Bowen Jing, Chenyu Wang et al.
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu, Gabriele Corso, Tommi Jaakkola et al.
DisCo: Disentangled Control for Realistic Human Dance Generation
Tan Wang, Linjie Li, Kevin Lin et al.
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control
Xinyu Xu, Shengcheng Luo, Yanchao Yang et al.
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
Paul Roetzer, Ahmed Abbas, Dongliang Cao et al.
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang, David Bombara, Heng Yang
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Zeliang Zhang, Mingqian Feng, Zhiheng Li et al.
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, Shuai Zhang, Boran Han et al.
Discovering Environments with XRM
Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim et al.
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu, Adam Kortylewski, Yutong Bai et al.
Discovering Features with Synergistic Interactions in Multiple Views
Chohee Kim, M van der Schaar, Changhee Lee
Discovering Mixtures of Structural Causal Models from Time Series Data
Sumanth Varambally, Yian Ma, Rose Yu
Discovering modular solutions that generalize compositionally
Simon Schug, Seijin Kobayashi, Yassir Akram et al.
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
Takayuki Osa, Tatsuya Harada
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning
Sanjoy Kundu, Shubham Trehan, Sathyanarayanan Aakur
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang, Elyssa Hofgard, Han Gao et al.
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Weibo Jiang et al.
Discovering Unwritten Visual Classifiers with Large Language Models
Mia Chiquier, Utkarsh Mall, Carl Vondrick
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
Sukrut Rao, Sweta Mahajan, Moritz Böhle et al.
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou, Chenlin Meng, Stefano Ermon
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
Yue Yuan, Rundong He, Yicong Dong et al.
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
Haifeng Xia, Siyu Xia, Zhengming Ding
Discriminative Probing and Tuning for Text-to-Image Generation
Leigang Qu, Wenjie Wang, Yongqi Li et al.
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera, Saman Halgamuge
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Hong Chen, Yipeng Zhang, Simin Wu et al.
Disentangled 3D Scene Generation with Layout Learning
Dave Epstein, Ben Poole, Ben Mildenhall et al.