9 citations · 25 across the 20 of their papers we have counts for
22 papers
One mechanism for many mental spaces: a shared router over a value slot in language models
Oliver Steele, Jiangtao Wen, Yuxing Han
Language builds discourse contexts other than the actual: a painting, a belief, a memory, a hypothetical. Each is a mental space in which the same entity can take a different value…
Belief-reality separation lives in routing over a shared value slot in language models
Oliver Steele, Jiangtao Wen, Yuxing Han
Capable language models hold what a character believes apart from what is true: told "Anna believes the cup is blue; in reality it is red," they answer blue about Anna and red abou…
ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows
Zhitao Wang, Yanke Wang, Jiangtao Wen +2
Robotic manipulation in unstructured environments requires the generation of robust and long-horizon trajectory-level policy with conditions of perceptual observations and benefits…
Efficient Bayer-Domain Video Computer Vision with Fast Motion Estimation and Learned Perception Residual
Haichao Wang, Jiangtao Wen, Yuxing Han
Video computer vision systems face substantial computational burdens arising from two fundamental challenges: eliminating unnecessary processing and reducing temporal redundancy in…
It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs
Jun Wu, Patrick Huang, Jiangtao Wen +1
Despite rapid progress in large language models (LLMs), the statistical structure of their weights, activations, and gradients-and its implications for initialization, training dyn…
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu, Jiangtao Wen, Yuxing Han
The rapid advancement of large-language models (LLMs) has driven extensive research into parameter compression after training has been completed, yet compression during the trainin…
Flow Intelligence: Robust Feature Matching via Temporal Signature Correlation
Jie Wang, Chen Ye Gan, Caoqi Wei +2
Feature matching across video streams remains a cornerstone challenge in computer vision. Increasingly, robust multimodal matching has garnered interest in robotics, surveillance,…
Vision without Images: End-to-End Computer Vision from Single Compressive Measurements
Fengpu Pan, Heting Gao, Jiangtao Wen +1
Snapshot Compressed Imaging (SCI) offers high-speed, low-bandwidth, and energy-efficient image acquisition, but remains challenged by low-light and low signal-to-noise ratio (SNR)…
Leveraging Motion Estimation for Efficient Bayer-Domain Video Convolutional Networks
Haichao Wang, Xinyue Xi, Jiangtao Wen +1
Existing computer vision pipelines suffer from two efficiency bottlenecks: image signal processors (ISPs) first convert Bayer pixel data to RGB pixel by pixel, and video models rep…
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
Yuxing Han, Yunan Ding, Chen Ye Gan +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video conten…
Judging a video by its bitstream cover
Yuxing Han, Yunan Ding, Jiangtao Wen +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of v…
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
Yubin Hu, Yuze He, Yanghao Li +4
Video semantic segmentation (VSS) is a computationally expensive task due to the per-frame prediction for videos of high frame rates. In recent work, compact models or adaptive net…
Channel-Aware Ordered Successive Relaying with Finite-Blocklength Coding
Lingrui Zhang, Yuxing Han, Qiong Wang +1
Successive relaying can improve the transmission rate by allowing the source and relays to transmit messages simultaneously, but it may cause severe inter-relay interference (IRI).…
Phocus: Picking Valuable Research from a Sea of Citations
Xinrong Zhang, Zihou Ren, Xi Li +5
The deluge of new papers has significantly blocked the development of academics, which is mainly caused by author-level and publication-level evaluation metrics that only focus on…
Learning to compose 6-DoF omnidirectional videos using multi-sphere images
Jisheng Li, Yuze He, Yubin Hu +2
Omnidirectional video is an essential component of Virtual Reality. Although various methods have been proposed to generate content that can be viewed with six degrees of freedom (…
Learning Model-Blind Temporal Denoisers without Ground Truths
Yanghao Li, Bichuan Guo, Jiangtao Wen +3
Denoisers trained with synthetic data often fail to cope with the diversity of unknown noises, giving way to methods that can adapt to existing noise without knowing its ground tru…
A Generalized Rate-Distortion- Model Based HEVC Rate Control Algorithm
Minhao Tang, Jiangtao Wen, Yuxing Han
The High Efficiency Video Coding (HEVC/H.265) standard doubles the compression efficiency of the widely used H.264/AVC standard. For practical applications, rate control (RC) algor…
Two-pass Light Field Image Compression for Spatial Quality and Angular Consistency
Bichuan Guo, Jiangtao Wen, Yuxing Han
The quality assessment of light field images presents new challenges to conventional compression methods, as the spatial quality is affected by the optical distortion of capturing…
Fast Block Structure Determination in AV1-based Multiple Resolutions Video Encoding
Bichuan Guo, Yuxing Han, Jiangtao Wen
The widely used adaptive HTTP streaming requires an efficient algorithm to encode the same video to different resolutions. In this paper, we propose a fast block structure determin…
Convex Optimization Based Bit Allocation for Light Field Compression under Weighting and Consistency Constraints
Bichuan Guo, Yuxing Han, Jiangtao Wen
Compared with conventional image and video, light field images introduce the weight channel, as well as the visual consistency of rendered view, information that has to be taken in…
A Bayesian Approach to Block Structure Inference in AV1-based Multi-rate Video Encoding
Bichuan Guo, Xinyao Chen, Jiawen Gu +2
Due to differences in frame structure, existing multi-rate video encoding algorithms cannot be directly adapted to encoders utilizing special reference frames such as AV1 without i…
Weighted Centroid Algorithm for Estimating Primary User Location: Theoretical Analysis and Distributed Implementation
Jun Wang, Paulo Urriza, Yuxing Han +1
Information about primary transmitter location is crucial in enabling several key capabilities in cognitive radio networks, including improved spatio-temporal sensing, intelligent…