Most Cited 2024 "action transformer" Papers
12,324 papers found • Page 18 of 62
Conference
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
Bohan Li, Xiao Xu, Xinghao Wang et al.
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang, ZhenYi Lin, Qilong Wang et al.
SANeRF-HQ: Segment Anything for NeRF in High Quality
Yichen Liu, Benran Hu, Chi-Keung Tang et al.
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
Chain-of-Thought Predictive Control
Zhiwei Jia, Vineet Thumuluri, Fangchen Liu et al.
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression
Ao Luo, Linxin Song, Keisuke Nonaka et al.
LLM-Empowered State Representation for Reinforcement Learning
Boyuan Wang, Yun Qu, Yuhang Jiang et al.
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
Reyna Abhyankar, Zijian He, Vikranth Srivatsa et al.
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
Nina Weng, Paraskevas Pegios, Eike Petersen et al.
Text-Conditioned Resampler For Long Form Video Understanding
Bruno Korbar, Yongqin Xian, Alessio Tonioni et al.
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang, Ting Liu, Cho-Jui Hsieh et al.
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
Minh-Tuan Tran, Trung Le, Xuan-May Le et al.
VideoMamba: Spatio-Temporal Selective State Space Model
Jinyoung Park, Hee-Seon Kim, Kangwook Ko et al.
Graph Contrastive Invariant Learning from the Causal Perspective
9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.
Garment Recovery with Shape and Deformation Priors
Ren Li, Corentin Dumery, Benoît Guillard et al.
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
Rishubh Parihar, Sachidanand VS, Sabariswaran Mani et al.
Accurate Forgetting for Heterogeneous Federated Continual Learning
Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang et al.
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Weijie Zheng, Benjamin Doerr
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
Xiaoqi An, Lin Zhao, Chen Gong et al.
Position: Why We Must Rethink Empirical Research in Machine Learning
Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger et al.
Designing Decision Support Systems using Counterfactual Prediction Sets
Eleni Straitouri, Manuel Gomez-Rodriguez
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald Junkins et al.
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Yilan Dong, Chunlin Yu, Ruiyang Ha et al.
EgoGen: An Egocentric Synthetic Data Generator
Gen Li, Kaifeng Zhao, Siwei Zhang et al.
Sampling in Unit Time with Kernel Fisher-Rao Flow
Aimee Maurais, Youssef Marzouk
Equivariant Diffusion for Crystal Structure Prediction
Peijia Lin, Pin Chen, Rui Jiao et al.
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal et al.
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Anna Rogers, Sasha Luccioni
VkD: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles, Ismail Elezi, Jiankang Deng
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
Zhen Qin, Weigao Sun, Dong Li et al.
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
Linfeng Yuan, Miaojing Shi, Zijie Yue et al.
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha, Ankit Jha, Shirsha Bose et al.
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Li, Qingqing Huang et al.
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
Duojun Huang, Xinyu Xiong, Jie Ma et al.
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Yuting Wang, Jinpeng Wang, Bin Chen et al.
Face2Diffusion for Fast and Editable Face Personalization
Kaede Shiohara, Toshihiko Yamasaki
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang et al.
Deep Active Learning with Noise Stability
Xingjian Li, Pengkun Yang, Yangcheng Gu et al.
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan, Shiliang Zhang
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami et al.
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
Van Thuy Hoang, O-Joun Lee
Open-Vocabulary Object 6D Pose Estimation
Jaime Corsetti, Davide Boscaini, Changjae Oh et al.
Does Few-Shot Learning Suffer from Backdoor Attacks?
Xinwei Liu, Xiaojun Jia, Jindong Gu et al.
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen et al.
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao et al.
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
Xiangxin Zhou, Xiwei Cheng, Yuwei Yang et al.
Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov, David Ruhe, Maurice Weiler et al.
Adversarial Socialbots Modeling Based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li
Disguise without Disruption: Utility-Preserving Face De-identification
Zikui Cai, Zhongpai Gao, Benjamin Planche et al.
Comparing Graph Transformers via Positional Encodings
Mitchell Black, Zhengchao Wan, Gal Mishne et al.
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong et al.
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin, Chao Li, Jianhai Zhang et al.
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
Benjamin J Biggs, Arjun Seshadri, Yang Zou et al.
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
Ruofan Liang, Zan Gojcic, Merlin Nimier-David et al.
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu, Ziyu Guan, Wei Zhao et al.
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
Fuxiang Huang, Lei Zhang, Xiaowei Fu et al.
Test-Time Adaptation for Depth Completion
Hyoungseob Park, Anjali W Gupta, Alex Wong
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
Fengyuan Shi, Jiaxi Gu, Hang Xu et al.
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
Hang Yin, Zihao Wang, Yangqiu Song
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
DIPANJYOTI PAUL, Arpita Chowdhury, Xinqi Xiong et al.
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic, Hallee Wong, Jose Javier Gonzalez Ortiz et al.
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha et al.
Learning Equi-angular Representations for Online Continual Learning
Minhyuk Seo, Hyunseo Koh, Wonje Jeung et al.
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev, Krishnan Srinivasan, Jie Xu et al.
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
Jiaer Xia, Lei Tan, Pingyang Dai et al.
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
Le Yang, Ziwei Zheng, Yizeng Han et al.
Semantic Residual Prompts for Continual Learning
Martin Menabue, Emanuele Frascaroli, Matteo Boschini et al.
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving
Guoqing Wang, Zhongdao Wang, Pin Tang et al.
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Ziming Wang, Ziling Wang, Huaning Li et al.
Scaling Up Video Summarization Pretraining with Large Language Models
Dawit Argaw Argaw, Seunghyun Yoon, Fabian Caba Heilbron et al.
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
Zhongze Wang, Haitao Zhao, Jingchao Peng et al.
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration
Huafeng Li, Qingsong Hu, Zhanxuan Hu
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han et al.
On the Implicit Bias of Adam
Matias Cattaneo, Jason Klusowski, Boris Shigida
Evaluating Representation Learning on the Protein Structure Universe
Arian Jamasb, Alex Morehead, Chaitanya Joshi et al.
Deep Equilibrium Diffusion Restoration with Parallel Sampling
Jiezhang Cao, Yue Shi, Kai Zhang et al.
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
Anqi Zhu, Qiuhong Ke, Mingming Gong et al.
Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
Jihyun Kim, Changjae Oh, Hoseok Do et al.
G3R: Gradient Guided Generalizable Reconstruction
Yun Chen, Jingkang Wang, Ze Yang et al.
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
Wei Yao, Chengming Yu, Shangzhi Zeng et al.
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla et al.
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
Traveling Waves Encode The Recent Past and Enhance Sequence Learning
T. Anderson Keller, Lyle Muller, Terrence Sejnowski et al.
Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models
Hyeonwoo Kim, Sookwan Han, Patrick Kwon et al.
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference
Benjamin Walker, Andrew McLeod, Tiexin QIN et al.
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda et al.
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
Narges Norouzi, Svetlana Orlova, Daan de Geus et al.
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Zequn Yang, Yake Wei, Ce Liang et al.
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du, Shaoming Zheng, Yinsong Wang et al.
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Margalit Glasgow
Generative Modeling with Phase Stochastic Bridge
Tianrong Chen, Jiatao Gu, Laurent Dinh et al.
Facial Affective Behavior Analysis with Instruction Tuning
Yifan Li, Anh Dao, Wentao Bao et al.
MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis
Wenhao Guan, Yishuang Li, Tao Li et al.
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
Jia-Hao Wu, Fu-Jen Tsai, Yan-Tsung Peng et al.
Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao, Robert M. Gower, Robin Walters et al.
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl, Carsten Lüth, Maximilian Zenk et al.
ModaVerse: Efficiently Transforming Modalities with LLMs
Xinyu Wang, Bohan Zhuang, Qi Wu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
Simin Li, Jun Guo, Jingqiao Xiu et al.
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
CHENG LI, Jindong Wang, Yixuan Zhang et al.
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.
Region-Adaptive Transform with Segmentation Prior for Image Compression
Yuxi Liu, Wenhan Yang, Huihui Bai et al.
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection
Jianwei Zhao, Xin Li, Fan Yang et al.
Dynamic LiDAR Re-simulation using Compositional Neural Fields
Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger et al.
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts
Byeongjun Park, Hyojun Go, Jin-Young Kim et al.
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models
Wen Li, Muyuan Fang, Cheng Zou et al.
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Liang, Chun Kai Ling, Yun Cheng et al.
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Zihan Wang, Arthur Jacot
POPDG: Popular 3D Dance Generation with PopDanceSet
Zhenye Luo, Min Ren, Xuecai Hu et al.
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
Jon Saad-Falcon, Daniel Y Fu, Simran Arora et al.
The Manga Whisperer: Automatically Generating Transcriptions for Comics
Ragav Sachdeva, Andrew Zisserman
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang et al.
Continual Forgetting for Pre-trained Vision Models
Hongbo Zhao, Bolin Ni, Junsong Fan et al.
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang et al.
Understanding Certified Training with Interval Bound Propagation
Yuhao Mao, Mark N Müller, Marc Fischer et al.
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features
Andre Rochow, Max Schwarz, Sven Behnke
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
Siteng Huang, Biao Gong, Yutong Feng et al.
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models
Shen Zhang, Zhaowei CHEN, Zhenyu Zhao et al.
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
Ying-Tian Liu, Yuan-Chen Guo, Guan Luo et al.
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
bedrettin cetinkaya, Sinan Kalkan, Emre Akbas
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao, Xiawu Zheng, Guanhong Wang et al.
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Wu Yun, Mengshi Qi, Chuanming Wang et al.
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems
Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother
Taming Self-Training for Open-Vocabulary Object Detection
Shiyu Zhao, Samuel Schulter, Long Zhao et al.
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou et al.
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
Chenchen Jing, Yukun Li, Hao Chen et al.
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Haoqi Yuan, Zhancun Mu, Feiyang Xie et al.
Multi-Domain Incremental Learning for Face Presentation Attack Detection
Keyao Wang, Guosheng Zhang, Haixiao Yue et al.
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
Beibei Lin, Yeying Jin, Wending Yan et al.
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
Yuxuan Duan, Li Niu, Yan Hong et al.
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
Shuai Yang, ZhiFei Chen, Pengguang Chen et al.
On the Role of Server Momentum in Federated Learning
Jianhui Sun, Xidong Wu, Heng Huang et al.
$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning
Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
Zhengyao Lv, Yuxiang Wei, Wangmeng Zuo et al.
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
Xun Lin, Shuai Wang, RIZHAO CAI et al.
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Yue Zhang, Ming Zhang, HaiPeng Yuan et al.
Bayesian Diffusion Models for 3D Shape Reconstruction
Haiyang Xu, Yu lei, Zeyuan Chen et al.
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Hongwei Yan, Liyuan Wang, Kaisheng Ma et al.
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi et al.
KeyPoint Relative Position Encoding for Face Recognition
Minchul Kim, Feng Liu, Yiyang Su et al.
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra et al.
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
Yixiong Zou, Yicong Liu, Yiman Hu et al.
PALM: Predicting Actions through Language Models
Sanghwan Kim, Daoji Huang, Yongqin Xian et al.
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
Zhenyu He, Guhao Feng, Shengjie Luo et al.
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
Jingbo Wang, Zhengyi Luo, Ye Yuan et al.
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
WEIMING ZHANG, Yexin Liu, Xu Zheng et al.
Domain Prompt Learning with Quaternion Networks
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
Zhuo Huang, Chang Liu, Yinpeng Dong et al.
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Rui Zheng, Wei Shen, Yuan Hua et al.
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
Fushuo Huo, Wenchao Xu, Jingcai Guo et al.
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Yanzuo Lu, Meng Shen, Andy J Ma et al.
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
Shengrui Li, Xueting Han, Jing Bai
VAREN: Very Accurate and Realistic Equine Network
Silvia Zuffi, Ylva Mellbin, Ci Li et al.
Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
Yujeong Chae, Hyeonseong Kim, Kuk-Jin Yoon
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
Tianhao Huang, Xuan Pan, Xiangrui Cai et al.
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang, Zhiguang Cao, Wen Song et al.
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
Xingcheng Fu, Yisen Gao, Yuecen Wei et al.
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
Zhi ZHANG, Sheng-hua Zhong, Yan Liu
Simple Image-Level Classification Improves Open-Vocabulary Object Detection
Ruohuan Fang, Guansong Pang, Xiao Bai
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang et al.
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu, Andres Potapczynski, Marc Finzi et al.
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu et al.
Sterling: Synergistic Representation Learning on Bipartite Graphs
Baoyu Jing, Yuchen Yan, Kaize Ding et al.
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar, Pekka Marttinen
Overcoming Generic Knowledge Loss with Selective Parameter Update
Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.
Composing Object Relations and Attributes for Image-Text Matching
Khoi Pham, Chuong Huynh, Ser-Nam Lim et al.
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
Ernie Chu, Tzuhsuan Huang, Shuo-Yen LIN et al.
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
Chenbin Pan, Burhan Yaman, Senem Velipasalar et al.
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Liyuan Mao, Haoran Xu, Weinan Zhang et al.
Dual-View Visual Contextualization for Web Navigation
Jihyung Kil, Chan Hee Song, Boyuan Zheng et al.
Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues
Xingxing Yang, Jie Chen, Zaifeng Yang
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li, Xin Yang, Hao Wang et al.
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz et al.
APISR: Anime Production Inspired Real-World Anime Super-Resolution
Boyang Wang, Fengyu Yang, Xihang Yu et al.
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, YU QIAO et al.
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
Xiaohan Cui, Long Ma, Tengyu Ma et al.
Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang, Sha Zhao, Haiteng Jiang et al.
Revisit Anything: Visual Place Recognition via Image Segment Retrieval
Kartik Garg, Sai Shubodh Puligilla, Shishir N Y Kolathaya et al.
Masked and Shuffled Blind Spot Denoising for Real-World Images
Hamadi Chihaoui, Paolo Favaro
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
Jie Long Lee, Chen Li, Gim Hee Lee
Diffusion Model for Dense Matching
Jisu Nam, Gyuseong Lee, Seonwoo Kim et al.
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu, Adam Kortylewski, Yutong Bai et al.
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Hila Manor, Tomer Michaeli
Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan et al.
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
Biwen Lei, Kai Yu, Mengyang Feng et al.
Learning to Reweight for Generalizable Graph Neural Network
Zhengyu Chen, Teng Xiao, Kun Kuang et al.
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu et al.
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time
Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta et al.
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
Junhao Shen, Hong Qian, Wei Zhang et al.
PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
Praneeth Kacham, Vahab Mirrokni, Peilin Zhong
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu, Subhankar Roy, Wenjing Li et al.
Summarizing Stream Data for Memory-Constrained Online Continual Learning
Jianyang Gu, Kai Wang, Wei Jiang et al.
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Jiachen Wang, Tianji Yang, James Zou et al.
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff, Zhong Yi Wan, Jeffrey Parker et al.
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
Yuan Dong, Chuan Fang, Liefeng Bo et al.