collaborators

10 papers

cs.CV2026

FairReL: Deepfake Detection using Fairness-Aware Representation Learning

Xiaoman Lu, Jiaqi Li, Shuntian Zheng +2

Although recent deepfake detectors achieve high overall accuracy, their errors remain unevenly distributed across demographic subgroups, with real faces from certain groups more of…

cs.HC2026

Physics-Bounded mmWave Sensing for Schedulable, Privacy-Preserving Human Pose Estimation

Shuntian Zheng, Hongyang He, Jiaqi Li +6

Millimeter-wave (mmWave) is a promising modality for human pose estimation (HPE) in mobile deployments with strong privacy requirements and limited resources, such as fall detectio…

eess.SP2026

SimART: A Unified and Open Real-world Multimodal Simulation Platform for 6G Integrated Sensing and Communication

Kang Yan, Yuqi Cao, Jiaqi Li +2

Research on sixth-generation (6G) integrated sensing and communication (ISAC) increasingly depends on multimodal datasets. These datasets need to jointly characterize wireless prop…

cs.HC2026

Doppler Prompting for Stable mmWave-based Human Pose Estimation

Shuntian Zheng, Jiaqi Li, Xiaoman Lu +2

Millimeter-wave (mmWave) enables privacy-preserving, illumination-robust human pose estimation (HPE), with each mmWave frame represented as a range-angle-Doppler tensor, providing…

cs.CV2026

A Two-Stage Motion-Aware Framework for mmWave-based Human Mesh Recovery

Hoang Hai Pham, Shuntian Zheng, Jiaqi Li +1

Millimeter-wave (mmWave) radar has emerged as a promising sensing modality for human perception due to its robustness under challenging environmental conditions and strong privacy-…

cs.HC2026

Why Learn What Physics Already Knows? Realizing Agile mmWave-based Human Pose Estimation via Physics-Guided Preprocessing

Shuntian Zheng, Jiaqi Li, Minzhe Ni +2

We revisit millimeter-wave (mmWave) human pose estimation (HPE) from a signal preprocessing perspective. A single mmWave frame provides structured dimensions that map directly to h…

cs.CV2026

AR2-4FV: Anchored Referring and Re-identification for Long-Term Grounding in Fixed-View Videos

Teng Yan, Yihan Liu, Jiongxu Chen +3

Long-term language-guided referring in fixed-view videos is challenging: the referent may be occluded or leave the scene for long intervals and later re-enter, while framewise refe…

cs.CV2026

Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding

Jiaqi Li, Shuntian Zheng, Yixian Shen +4

Video Temporal Grounding (VTG) localizes the temporal boundaries of query-relevant moments in long, untrimmed videos, making video-language-model prohibitively expensive. While rec…

cs.HC2026

Person Parametric Physics-informed Representation for mmWave-based Human Pose Estimation

Shuntian Zheng, Jiaqi Li, Guangming Wang +4

Millimeter-wave (mmWave) radar enables privacy-preserving, illumination-invariant Human Pose Estimation (HPE). However, current mmWave-based HPE systems face a signal-noise dilemma…

cs.CV2026

Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization

Jiaqi Li, Guangming Wang, Shuntian Zheng +4

Temporal Action Localization (TAL) requires identifying both the boundaries and categories of actions in untrimmed videos. While vision-language models (VLMs) offer rich semantics…